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Girls Looking at your obough after shaving https://t.co/XX9GJwCS12
{'source_url': 'https://x.com/De7riano/status/2012637264132645237', 'platform': 'Twitter', 'created_at': '2026-01-21 16:24:38', 'source_id': '2012637264132645237', 'source_ctx': '{"type": "tweet", "id": "2012637264132645237", "url": "https://x.com/De7riano/status/2012637264132645237", "twitterUrl": "https://twitter.com/De7riano/status/2012637264132645237", "text": "Girls\\n\\nLooking at your obough after shaving https://t.co/XX9GJwCS12", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 0, "createdAt": "Sat Jan 17 21:24:51 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": false, "inReplyToId": null, "conversationId": "2012637264132645237", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "De7riano", "url": "https://x.com/De7riano", "twitterUrl": "https://twitter.com/De7riano", "id": "938016335547727873", "name": "Spiritualoaded", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/2010578733002846208/rU06t09p_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/938016335547727873/1756692654", "description": "Football | Marketing | Business | Liverpool Fan \\ud83e\\udead", "location": "Edgecliff Village, TX", "followers": 169, "following": 790, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Tue Dec 05 12:04:56 +0000 2017", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 4702, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 600, "statusesCount": 3871, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1964123865430335677"], "profile_bio": {"description": "Football | Marketing | Business | Liverpool Fan \\ud83e\\udead"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/XX9GJwCS12", "expanded_url": "https://x.com/De7riano/status/2012637264132645237/photo/1", "id_str": "2012637252384333824", "indices": [44, 67], "media_key": "3_2012637252384333824", "media_url_https": "https://pbs.twimg.com/media/G-5S6uoWIAAiM8o.jpg", "type": "photo", "url": "https://t.co/XX9GJwCS12", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}, "medium": {"faces": [{"x": 719, "y": 537, "h": 86, "w": 86}, {"x": 360, "y": 295, "h": 115, "w": 115}]}, "small": {"faces": [{"x": 407, "y": 304, "h": 48, "w": 48}, {"x": 204, "y": 167, "h": 65, "w": 65}]}, "orig": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}}, "sizes": {"large": {"h": 1528, "w": 1080, "resize": "fit"}, "medium": {"h": 1200, "w": 848, "resize": "fit"}, "small": {"h": 680, "w": 481, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1528, "width": 1080, "focus_rects": [{"x": 0, "y": 271, "w": 1080, "h": 605}, {"x": 0, "y": 33, "w": 1080, "h": 1080}, {"x": 0, "y": 0, "w": 1080, "h": 1231}, {"x": 0, "y": 0, "w": 764, "h": 1528}, {"x": 0, "y": 0, "w": 1080, "h": 1528}]}, "media_results": {"result": {"media_key": "3_2012637252384333824"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/XX9GJwCS12", "expanded_url": "https://x.com/De7riano/status/2012637264132645237/photo/1", "id_str": "2012637252384333824", "indices": [44, 67], "media_key": "3_2012637252384333824", "media_url_https": "https://pbs.twimg.com/media/G-5S6uoWIAAiM8o.jpg", "type": "photo", "url": "https://t.co/XX9GJwCS12", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}, "medium": {"faces": [{"x": 719, "y": 537, "h": 86, "w": 86}, {"x": 360, "y": 295, "h": 115, "w": 115}]}, "small": {"faces": [{"x": 407, "y": 304, "h": 48, "w": 48}, {"x": 204, "y": 167, "h": 65, "w": 65}]}, "orig": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}}, "sizes": {"large": {"h": 1528, "w": 1080, "resize": "fit"}, "medium": {"h": 1200, "w": 848, "resize": "fit"}, "small": {"h": 680, "w": 481, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1528, "width": 1080, "focus_rects": [{"x": 0, "y": 271, "w": 1080, "h": 605}, {"x": 0, "y": 33, "w": 1080, "h": 1080}, {"x": 0, "y": 0, "w": 1080, "h": 1231}, {"x": 0, "y": 0, "w": 764, "h": 1528}, {"x": 0, "y": 0, "w": 1080, "h": 1528}]}, "media_results": {"result": {"media_key": "3_2012637252384333824"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'id': 1, 'llm_result': '{"id":"1","narratives":[{"narrative_family":"Sexual Humor","broad_category":"neutral","focused_category":"sexual_humor_neutral","confidence_score":0.7,"negativity_score":0.1,"positivity_score":0.3,"target_group":"Girls"}],"post_level_attributes":{"overall_tone":["humorous","informal","sexual"],"ambiguity_level":0.5,"plausibly_benign":true,"overall_positivity_score":0.4}}'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: Girls Looking at your obough after shaving https://t.co/XX9GJwCS12 ### Response: {'source_url': 'https://x.com/De7riano/status/2012637264132645237', 'platform': 'Twitter', 'created_at': '2026-01-21 16:24:38', 'source_id': '2012637264132645237', 'source_ctx': '{"type": "tweet", "id": "2012637264132645237", "url": "https://x.com/De7riano/status/2012637264132645237", "twitterUrl": "https://twitter.com/De7riano/status/2012637264132645237", "text": "Girls\\n\\nLooking at your obough after shaving https://t.co/XX9GJwCS12", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 0, "createdAt": "Sat Jan 17 21:24:51 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": false, "inReplyToId": null, "conversationId": "2012637264132645237", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "De7riano", "url": "https://x.com/De7riano", "twitterUrl": "https://twitter.com/De7riano", "id": "938016335547727873", "name": "Spiritualoaded", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/2010578733002846208/rU06t09p_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/938016335547727873/1756692654", "description": "Football | Marketing | Business | Liverpool Fan \\ud83e\\udead", "location": "Edgecliff Village, TX", "followers": 169, "following": 790, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Tue Dec 05 12:04:56 +0000 2017", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 4702, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 600, "statusesCount": 3871, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1964123865430335677"], "profile_bio": {"description": "Football | Marketing | Business | Liverpool Fan \\ud83e\\udead"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/XX9GJwCS12", "expanded_url": "https://x.com/De7riano/status/2012637264132645237/photo/1", "id_str": "2012637252384333824", "indices": [44, 67], "media_key": "3_2012637252384333824", "media_url_https": "https://pbs.twimg.com/media/G-5S6uoWIAAiM8o.jpg", "type": "photo", "url": "https://t.co/XX9GJwCS12", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}, "medium": {"faces": [{"x": 719, "y": 537, "h": 86, "w": 86}, {"x": 360, "y": 295, "h": 115, "w": 115}]}, "small": {"faces": [{"x": 407, "y": 304, "h": 48, "w": 48}, {"x": 204, "y": 167, "h": 65, "w": 65}]}, "orig": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}}, "sizes": {"large": {"h": 1528, "w": 1080, "resize": "fit"}, "medium": {"h": 1200, "w": 848, "resize": "fit"}, "small": {"h": 680, "w": 481, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1528, "width": 1080, "focus_rects": [{"x": 0, "y": 271, "w": 1080, "h": 605}, {"x": 0, "y": 33, "w": 1080, "h": 1080}, {"x": 0, "y": 0, "w": 1080, "h": 1231}, {"x": 0, "y": 0, "w": 764, "h": 1528}, {"x": 0, "y": 0, "w": 1080, "h": 1528}]}, "media_results": {"result": {"media_key": "3_2012637252384333824"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/XX9GJwCS12", "expanded_url": "https://x.com/De7riano/status/2012637264132645237/photo/1", "id_str": "2012637252384333824", "indices": [44, 67], "media_key": "3_2012637252384333824", "media_url_https": "https://pbs.twimg.com/media/G-5S6uoWIAAiM8o.jpg", "type": "photo", "url": "https://t.co/XX9GJwCS12", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}, "medium": {"faces": [{"x": 719, "y": 537, "h": 86, "w": 86}, {"x": 360, "y": 295, "h": 115, "w": 115}]}, "small": {"faces": [{"x": 407, "y": 304, "h": 48, "w": 48}, {"x": 204, "y": 167, "h": 65, "w": 65}]}, "orig": {"faces": [{"x": 916, "y": 684, "h": 110, "w": 110}, {"x": 459, "y": 376, "h": 147, "w": 147}]}}, "sizes": {"large": {"h": 1528, "w": 1080, "resize": "fit"}, "medium": {"h": 1200, "w": 848, "resize": "fit"}, "small": {"h": 680, "w": 481, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1528, "width": 1080, "focus_rects": [{"x": 0, "y": 271, "w": 1080, "h": 605}, {"x": 0, "y": 33, "w": 1080, "h": 1080}, {"x": 0, "y": 0, "w": 1080, "h": 1231}, {"x": 0, "y": 0, "w": 764, "h": 1528}, {"x": 0, "y": 0, "w": 1080, "h": 1528}]}, "media_results": {"result": {"media_key": "3_2012637252384333824"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'id': 1, 'llm_result': '{"id":"1","narratives":[{"narrative_family":"Sexual Humor","broad_category":"neutral","focused_category":"sexual_humor_neutral","confidence_score":0.7,"negativity_score":0.1,"positivity_score":0.3,"target_group":"Girls"}],"post_level_attributes":{"overall_tone":["humorous","informal","sexual"],"ambiguity_level":0.5,"plausibly_benign":true,"overall_positivity_score":0.4}}'}
@GuyMr10 Obough bouncer https://t.co/QHuyOHWDqL
{'llm_result': '{"id":"2","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_url': 'https://x.com/Lifestyleshotit/status/2012636981977612324', 'id': 2, 'source_id': '2012636981977612324', 'platform': 'Twitter', 'created_at': '2026-01-21 16:24:38', 'source_ctx': '{"type": "tweet", "id": "2012636981977612324", "url": "https://x.com/Lifestyleshotit/status/2012636981977612324", "twitterUrl": "https://twitter.com/Lifestyleshotit/status/2012636981977612324", "text": "@GuyMr10 Obough bouncer https://t.co/QHuyOHWDqL", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:23:44 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012612295285706853", "conversationId": "2012612295285706853", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Lifestyleshotit", "url": "https://x.com/Lifestyleshotit", "twitterUrl": "https://twitter.com/Lifestyleshotit", "id": "1902823858853515264", "name": "\\ud83d\\udc51MAYHERGINCITY\\ud83e\\ude96\\ud83c\\udfdd\\ufe0f", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1934122997402783744/_51BFuGM_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1902823858853515264/1748608838", "description": "I Create and edit. Efootball and CODM gamer. I LOVE RONALDO AND MESSI IS TALENTED \\ud83e\\udd0d\\u2026. We all can win at the same time \\ud83d\\udcaf\\ud83c\\udfc4\\ud83c\\udfff\\u200d\\u2642\\ufe0f", "location": "Anywhere Money Dey", "followers": 357, "following": 218, "status": "", "canDm": true, "canMediaTag": false, "createdAt": "Thu Mar 20 20:45:52 +0000 2025", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 1581, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 251, "statusesCount": 2297, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1980151407086047650"], "profile_bio": {"description": "I Create and edit. Efootball and CODM gamer. I LOVE RONALDO AND MESSI IS TALENTED \\ud83e\\udd0d\\u2026. We all can win at the same time \\ud83d\\udcaf\\ud83c\\udfc4\\ud83c\\udfff\\u200d\\u2642\\ufe0f"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/QHuyOHWDqL", "expanded_url": "https://x.com/Lifestyleshotit/status/2012636981977612324/photo/1", "id_str": "2012636969990299648", "indices": [24, 47], "media_key": "3_2012636969990299648", "media_url_https": "https://pbs.twimg.com/media/G-5SqSoXIAAOcl-.jpg", "type": "photo", "url": "https://t.co/QHuyOHWDqL", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "medium": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "small": {"faces": [{"x": 239, "y": 47, "h": 38, "w": 38}, {"x": 285, "y": 374, "h": 46, "w": 46}]}, "orig": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}}, "sizes": {"large": {"h": 912, "w": 828, "resize": "fit"}, "medium": {"h": 912, "w": 828, "resize": "fit"}, "small": {"h": 680, "w": 617, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 912, "width": 828, "focus_rects": [{"x": 0, "y": 428, "w": 828, "h": 464}, {"x": 0, "y": 84, "w": 828, "h": 828}, {"x": 0, "y": 0, "w": 800, "h": 912}, {"x": 113, "y": 0, "w": 456, "h": 912}, {"x": 0, "y": 0, "w": 828, "h": 912}]}, "allow_download_status": {"allow_download": true}, "media_results": {"result": {"media_key": "3_2012636969990299648"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/QHuyOHWDqL", "expanded_url": "https://x.com/Lifestyleshotit/status/2012636981977612324/photo/1", "id_str": "2012636969990299648", "indices": [24, 47], "media_key": "3_2012636969990299648", "media_url_https": "https://pbs.twimg.com/media/G-5SqSoXIAAOcl-.jpg", "type": "photo", "url": "https://t.co/QHuyOHWDqL", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "medium": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "small": {"faces": [{"x": 239, "y": 47, "h": 38, "w": 38}, {"x": 285, "y": 374, "h": 46, "w": 46}]}, "orig": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}}, "sizes": {"large": {"h": 912, "w": 828, "resize": "fit"}, "medium": {"h": 912, "w": 828, "resize": "fit"}, "small": {"h": 680, "w": 617, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 912, "width": 828, "focus_rects": [{"x": 0, "y": 428, "w": 828, "h": 464}, {"x": 0, "y": 84, "w": 828, "h": 828}, {"x": 0, "y": 0, "w": 800, "h": 912}, {"x": 113, "y": 0, "w": 456, "h": 912}, {"x": 0, "y": 0, "w": 828, "h": 912}]}, "allow_download_status": {"allow_download": true}, "media_results": {"result": {"media_key": "3_2012636969990299648"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1997191130866454528", "name": "\\u1eccm\\u1ecd Akin", "screen_name": "GuyMr10", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @GuyMr10 Obough bouncer https://t.co/QHuyOHWDqL ### Response: {'llm_result': '{"id":"2","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_url': 'https://x.com/Lifestyleshotit/status/2012636981977612324', 'id': 2, 'source_id': '2012636981977612324', 'platform': 'Twitter', 'created_at': '2026-01-21 16:24:38', 'source_ctx': '{"type": "tweet", "id": "2012636981977612324", "url": "https://x.com/Lifestyleshotit/status/2012636981977612324", "twitterUrl": "https://twitter.com/Lifestyleshotit/status/2012636981977612324", "text": "@GuyMr10 Obough bouncer https://t.co/QHuyOHWDqL", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:23:44 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012612295285706853", "conversationId": "2012612295285706853", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Lifestyleshotit", "url": "https://x.com/Lifestyleshotit", "twitterUrl": "https://twitter.com/Lifestyleshotit", "id": "1902823858853515264", "name": "\\ud83d\\udc51MAYHERGINCITY\\ud83e\\ude96\\ud83c\\udfdd\\ufe0f", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1934122997402783744/_51BFuGM_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1902823858853515264/1748608838", "description": "I Create and edit. Efootball and CODM gamer. I LOVE RONALDO AND MESSI IS TALENTED \\ud83e\\udd0d\\u2026. We all can win at the same time \\ud83d\\udcaf\\ud83c\\udfc4\\ud83c\\udfff\\u200d\\u2642\\ufe0f", "location": "Anywhere Money Dey", "followers": 357, "following": 218, "status": "", "canDm": true, "canMediaTag": false, "createdAt": "Thu Mar 20 20:45:52 +0000 2025", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 1581, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 251, "statusesCount": 2297, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1980151407086047650"], "profile_bio": {"description": "I Create and edit. Efootball and CODM gamer. I LOVE RONALDO AND MESSI IS TALENTED \\ud83e\\udd0d\\u2026. We all can win at the same time \\ud83d\\udcaf\\ud83c\\udfc4\\ud83c\\udfff\\u200d\\u2642\\ufe0f"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/QHuyOHWDqL", "expanded_url": "https://x.com/Lifestyleshotit/status/2012636981977612324/photo/1", "id_str": "2012636969990299648", "indices": [24, 47], "media_key": "3_2012636969990299648", "media_url_https": "https://pbs.twimg.com/media/G-5SqSoXIAAOcl-.jpg", "type": "photo", "url": "https://t.co/QHuyOHWDqL", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "medium": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "small": {"faces": [{"x": 239, "y": 47, "h": 38, "w": 38}, {"x": 285, "y": 374, "h": 46, "w": 46}]}, "orig": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}}, "sizes": {"large": {"h": 912, "w": 828, "resize": "fit"}, "medium": {"h": 912, "w": 828, "resize": "fit"}, "small": {"h": 680, "w": 617, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 912, "width": 828, "focus_rects": [{"x": 0, "y": 428, "w": 828, "h": 464}, {"x": 0, "y": 84, "w": 828, "h": 828}, {"x": 0, "y": 0, "w": 800, "h": 912}, {"x": 113, "y": 0, "w": 456, "h": 912}, {"x": 0, "y": 0, "w": 828, "h": 912}]}, "allow_download_status": {"allow_download": true}, "media_results": {"result": {"media_key": "3_2012636969990299648"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/QHuyOHWDqL", "expanded_url": "https://x.com/Lifestyleshotit/status/2012636981977612324/photo/1", "id_str": "2012636969990299648", "indices": [24, 47], "media_key": "3_2012636969990299648", "media_url_https": "https://pbs.twimg.com/media/G-5SqSoXIAAOcl-.jpg", "type": "photo", "url": "https://t.co/QHuyOHWDqL", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "medium": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}, "small": {"faces": [{"x": 239, "y": 47, "h": 38, "w": 38}, {"x": 285, "y": 374, "h": 46, "w": 46}]}, "orig": {"faces": [{"x": 322, "y": 64, "h": 51, "w": 51}, {"x": 383, "y": 502, "h": 63, "w": 63}]}}, "sizes": {"large": {"h": 912, "w": 828, "resize": "fit"}, "medium": {"h": 912, "w": 828, "resize": "fit"}, "small": {"h": 680, "w": 617, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 912, "width": 828, "focus_rects": [{"x": 0, "y": 428, "w": 828, "h": 464}, {"x": 0, "y": 84, "w": 828, "h": 828}, {"x": 0, "y": 0, "w": 800, "h": 912}, {"x": 113, "y": 0, "w": 456, "h": 912}, {"x": 0, "y": 0, "w": 828, "h": 912}]}, "allow_download_status": {"allow_download": true}, "media_results": {"result": {"media_key": "3_2012636969990299648"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1997191130866454528", "name": "\\u1eccm\\u1ecd Akin", "screen_name": "GuyMr10", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
@_chrismane_ Obough Madrid
{'source_id': '2012634688305705470', 'created_at': '2026-01-21 16:24:38', 'llm_result': '{"id":"3","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":"Real Madrid"}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'platform': 'Twitter', 'source_url': 'https://x.com/mr_obaaaaa/status/2012634688305705470', 'id': 3, 'source_ctx': '{"type": "tweet", "id": "2012634688305705470", "url": "https://x.com/mr_obaaaaa/status/2012634688305705470", "twitterUrl": "https://twitter.com/mr_obaaaaa/status/2012634688305705470", "text": "@_chrismane_ Obough Madrid", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:14:37 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012577427940110396", "conversationId": "2012577427940110396", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "mr_obaaaaa", "url": "https://x.com/mr_obaaaaa", "twitterUrl": "https://twitter.com/mr_obaaaaa", "id": "1504796091929313283", "name": "MR OBA", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1974797401765429248/gYWNq3Bf_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1504796091929313283/1714831437", "description": "MAN UNITED || PLAY MY SONG || CR7 || OMAH LAY || THE \\ud83d\\ude08 ||", "location": "Vienna, Austria", "followers": 162, "following": 182, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Fri Mar 18 12:25:28 +0000 2022", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 179098, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 125, "statusesCount": 1540, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1968954868543963454"], "profile_bio": {"description": "MAN UNITED || PLAY MY SONG || CR7 || OMAH LAY || THE \\ud83d\\ude08 ||"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1505521251837693956", "name": "Chris \\ud83d\\ude0e", "screen_name": "_chrismane_", "indices": [0, 12]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @_chrismane_ Obough Madrid ### Response: {'source_id': '2012634688305705470', 'created_at': '2026-01-21 16:24:38', 'llm_result': '{"id":"3","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":"Real Madrid"}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'platform': 'Twitter', 'source_url': 'https://x.com/mr_obaaaaa/status/2012634688305705470', 'id': 3, 'source_ctx': '{"type": "tweet", "id": "2012634688305705470", "url": "https://x.com/mr_obaaaaa/status/2012634688305705470", "twitterUrl": "https://twitter.com/mr_obaaaaa/status/2012634688305705470", "text": "@_chrismane_ Obough Madrid", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:14:37 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012577427940110396", "conversationId": "2012577427940110396", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "mr_obaaaaa", "url": "https://x.com/mr_obaaaaa", "twitterUrl": "https://twitter.com/mr_obaaaaa", "id": "1504796091929313283", "name": "MR OBA", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1974797401765429248/gYWNq3Bf_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1504796091929313283/1714831437", "description": "MAN UNITED || PLAY MY SONG || CR7 || OMAH LAY || THE \\ud83d\\ude08 ||", "location": "Vienna, Austria", "followers": 162, "following": 182, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Fri Mar 18 12:25:28 +0000 2022", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 179098, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 125, "statusesCount": 1540, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1968954868543963454"], "profile_bio": {"description": "MAN UNITED || PLAY MY SONG || CR7 || OMAH LAY || THE \\ud83d\\ude08 ||"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1505521251837693956", "name": "Chris \\ud83d\\ude0e", "screen_name": "_chrismane_", "indices": [0, 12]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
@GuyMr10 Gbewa obough ghost
{'source_url': 'https://x.com/Raredivinity09/status/2012634456931156113', 'source_ctx': '{"type": "tweet", "id": "2012634456931156113", "url": "https://x.com/Raredivinity09/status/2012634456931156113", "twitterUrl": "https://twitter.com/Raredivinity09/status/2012634456931156113", "text": "@GuyMr10 Gbewa obough ghost", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:13:42 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012622295722778951", "conversationId": "2012622295722778951", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Raredivinity09", "url": "https://x.com/Raredivinity09", "twitterUrl": "https://twitter.com/Raredivinity09", "id": "1649376415438053376", "name": "\\u1d9c\\u1d43\\u1d50\\u1d43 \\u02e2\\u1dbb\\u207f\\ud83c\\uddf3\\ud83c\\uddec\\ud83c\\uddec\\ud83c\\udde7", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/2009688577269997569/617kVRbX_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1649376415438053376/1768682744", "description": "\\u26bdAthlete | \\ud83d\\udcc9Trader | Navigating the intersection of Sports, Web3 & Web2 | open to be Put on anything.\\ud83e\\udee0", "location": "", "followers": 523, "following": 592, "status": "", "canDm": true, "canMediaTag": false, "createdAt": "Fri Apr 21 11:36:06 +0000 2023", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 20404, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 407, "statusesCount": 11109, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": [], "profile_bio": {"description": "\\u26bdAthlete | \\ud83d\\udcc9Trader | Navigating the intersection of Sports, Web3 & Web2 | open to be Put on anything.\\ud83e\\udee0"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1997191130866454528", "name": "\\u1eccm\\u1ecd Akin", "screen_name": "GuyMr10", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'id': 4, 'llm_result': '{"id":"4","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_id': '2012634456931156113', 'platform': 'Twitter', 'created_at': '2026-01-21 16:24:39'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @GuyMr10 Gbewa obough ghost ### Response: {'source_url': 'https://x.com/Raredivinity09/status/2012634456931156113', 'source_ctx': '{"type": "tweet", "id": "2012634456931156113", "url": "https://x.com/Raredivinity09/status/2012634456931156113", "twitterUrl": "https://twitter.com/Raredivinity09/status/2012634456931156113", "text": "@GuyMr10 Gbewa obough ghost", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:13:42 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012622295722778951", "conversationId": "2012622295722778951", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Raredivinity09", "url": "https://x.com/Raredivinity09", "twitterUrl": "https://twitter.com/Raredivinity09", "id": "1649376415438053376", "name": "\\u1d9c\\u1d43\\u1d50\\u1d43 \\u02e2\\u1dbb\\u207f\\ud83c\\uddf3\\ud83c\\uddec\\ud83c\\uddec\\ud83c\\udde7", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/2009688577269997569/617kVRbX_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1649376415438053376/1768682744", "description": "\\u26bdAthlete | \\ud83d\\udcc9Trader | Navigating the intersection of Sports, Web3 & Web2 | open to be Put on anything.\\ud83e\\udee0", "location": "", "followers": 523, "following": 592, "status": "", "canDm": true, "canMediaTag": false, "createdAt": "Fri Apr 21 11:36:06 +0000 2023", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 20404, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 407, "statusesCount": 11109, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": [], "profile_bio": {"description": "\\u26bdAthlete | \\ud83d\\udcc9Trader | Navigating the intersection of Sports, Web3 & Web2 | open to be Put on anything.\\ud83e\\udee0"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1997191130866454528", "name": "\\u1eccm\\u1ecd Akin", "screen_name": "GuyMr10", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'id': 4, 'llm_result': '{"id":"4","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_id': '2012634456931156113', 'platform': 'Twitter', 'created_at': '2026-01-21 16:24:39'}
@mak_aura 4. Fit con be obough 😂
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### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @mak_aura 4. Fit con be obough 😂 ### Response: {'id': 5, 'source_id': '2012632532274065827', 'source_url': 'https://x.com/Xlatan_is_a_god/status/2012632532274065827', 'llm_result': '{"id":"5","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_humor_neutral","confidence_score":0.6,"negativity_score":0.0,"positivity_score":0.4,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","humorous"],"ambiguity_level":0.7,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'platform': 'Twitter', 'created_at': '2026-01-21 16:24:39', 'source_ctx': '{"type": "tweet", "id": "2012632532274065827", "url": "https://x.com/Xlatan_is_a_god/status/2012632532274065827", "twitterUrl": "https://twitter.com/Xlatan_is_a_god/status/2012632532274065827", "text": "@mak_aura 4. Fit con be obough \\ud83d\\ude02", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 0, "createdAt": "Sat Jan 17 21:06:03 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012632447813320917", "conversationId": "2012570985342665159", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Xlatan_is_a_god", "url": "https://x.com/Xlatan_is_a_god", "twitterUrl": "https://twitter.com/Xlatan_is_a_god", "id": "1869737307399757824", "name": "zlatan", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/2006746036291751936/_SkdBE_H_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1869737307399757824/1762083944", "description": "JESUS IS LORD \\u271d\\ufe0f\\u2764\\ufe0f | i am a god | dispatch \\ud83d\\udef5 | Agba content creator \\ud83d\\ude0e | \\u26bd \\ud83d\\udd1c | FCB \\u2764\\ufe0f\\ud83d\\udc99| record label \\u23f3 \\ud83d\\udd1c | 6 ft 2 machine \\ud83e\\udd37\\ud83c\\udffe\\u200d\\u2642\\ufe0f.", "location": "Why You Wan Know?", "followers": 125, "following": 317, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Thu Dec 19 13:31:40 +0000 2024", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 12885, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 183, "statusesCount": 8303, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1890103758513926465"], "profile_bio": {"description": "JESUS IS LORD \\u271d\\ufe0f\\u2764\\ufe0f | i am a god | dispatch \\ud83d\\udef5 | Agba content creator \\ud83d\\ude0e | \\u26bd \\ud83d\\udd1c | FCB \\u2764\\ufe0f\\ud83d\\udc99| record label \\u23f3 \\ud83d\\udd1c | 6 ft 2 machine \\ud83e\\udd37\\ud83c\\udffe\\u200d\\u2642\\ufe0f."}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1412020260891398146", "name": "Mak", "screen_name": "mak_aura", "indices": [0, 9]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
@GuyMr10 Ghost obough https://t.co/u94skDkwYJ
{'id': 6, 'llm_result': '{"id":"6","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_ctx': '{"type": "tweet", "id": "2012631376009302462", "url": "https://x.com/societyknowsjay/status/2012631376009302462", "twitterUrl": "https://twitter.com/societyknowsjay/status/2012631376009302462", "text": "@GuyMr10 Ghost obough https://t.co/u94skDkwYJ", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:01:27 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012631091530633252", "conversationId": "2012622295722778951", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "societyknowsjay", "url": "https://x.com/societyknowsjay", "twitterUrl": "https://twitter.com/societyknowsjay", "id": "1816790961139195904", "name": "C_JAY \\ud83c\\udccf #swappedcom", "isVerified": false, "isBlueVerified": true, "profilePicture": "https://pbs.twimg.com/profile_images/2011791691586396160/SFZTG1kP_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1816790961139195904/1768244397", "description": "! Not a financial advisor \\ud83d\\udd38 full-time Trader Admin https://t.co/coesbZZWkW\\ud83c\\udf42 DM\'s Open. https://t.co/vKQLWBtUh3", "location": "Blockchain ", "followers": 2577, "following": 1342, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Fri Jul 26 11:02:06 +0000 2024", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 29850, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 2396, "statusesCount": 21204, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1997296726919831747"], "profile_bio": {"description": "! Not a financial advisor \\ud83d\\udd38 full-time Trader Admin https://t.co/coesbZZWkW\\ud83c\\udf42 DM\'s Open. https://t.co/vKQLWBtUh3"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/u94skDkwYJ", "expanded_url": "https://x.com/societyknowsjay/status/2012631376009302462/photo/1", "id_str": "2012631367046057984", "indices": [22, 45], "media_key": "3_2012631367046057984", "media_url_https": "https://pbs.twimg.com/media/G-5NkKCW0AAQ7Ec.jpg", "type": "photo", "url": "https://t.co/u94skDkwYJ", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "medium": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "small": {"faces": [{"x": 290, "y": 378, "h": 48, "w": 48}]}, "orig": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}}, "sizes": {"large": {"h": 1125, "w": 1040, "resize": "fit"}, "medium": {"h": 1125, "w": 1040, "resize": "fit"}, "small": {"h": 680, "w": 629, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1125, "width": 1040, "focus_rects": [{"x": 0, "y": 524, "w": 1040, "h": 582}, {"x": 0, "y": 85, "w": 1040, "h": 1040}, {"x": 0, "y": 0, "w": 987, "h": 1125}, {"x": 196, "y": 0, "w": 563, "h": 1125}, {"x": 0, "y": 0, "w": 1040, "h": 1125}]}, "media_results": {"result": {"media_key": "3_2012631367046057984"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/u94skDkwYJ", "expanded_url": "https://x.com/societyknowsjay/status/2012631376009302462/photo/1", "id_str": "2012631367046057984", "indices": [22, 45], "media_key": "3_2012631367046057984", "media_url_https": "https://pbs.twimg.com/media/G-5NkKCW0AAQ7Ec.jpg", "type": "photo", "url": "https://t.co/u94skDkwYJ", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "medium": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "small": {"faces": [{"x": 290, "y": 378, "h": 48, "w": 48}]}, "orig": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}}, "sizes": {"large": {"h": 1125, "w": 1040, "resize": "fit"}, "medium": {"h": 1125, "w": 1040, "resize": "fit"}, "small": {"h": 680, "w": 629, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1125, "width": 1040, "focus_rects": [{"x": 0, "y": 524, "w": 1040, "h": 582}, {"x": 0, "y": 85, "w": 1040, "h": 1040}, {"x": 0, "y": 0, "w": 987, "h": 1125}, {"x": 196, "y": 0, "w": 563, "h": 1125}, {"x": 0, "y": 0, "w": 1040, "h": 1125}]}, "media_results": {"result": {"media_key": "3_2012631367046057984"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1997191130866454528", "name": "\\u1eccm\\u1ecd Akin", "screen_name": "GuyMr10", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'created_at': '2026-01-21 16:24:39', 'platform': 'Twitter', 'source_url': 'https://x.com/societyknowsjay/status/2012631376009302462', 'source_id': '2012631376009302462'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @GuyMr10 Ghost obough https://t.co/u94skDkwYJ ### Response: {'id': 6, 'llm_result': '{"id":"6","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_ctx': '{"type": "tweet", "id": "2012631376009302462", "url": "https://x.com/societyknowsjay/status/2012631376009302462", "twitterUrl": "https://twitter.com/societyknowsjay/status/2012631376009302462", "text": "@GuyMr10 Ghost obough https://t.co/u94skDkwYJ", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 1, "createdAt": "Sat Jan 17 21:01:27 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012631091530633252", "conversationId": "2012622295722778951", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "societyknowsjay", "url": "https://x.com/societyknowsjay", "twitterUrl": "https://twitter.com/societyknowsjay", "id": "1816790961139195904", "name": "C_JAY \\ud83c\\udccf #swappedcom", "isVerified": false, "isBlueVerified": true, "profilePicture": "https://pbs.twimg.com/profile_images/2011791691586396160/SFZTG1kP_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1816790961139195904/1768244397", "description": "! Not a financial advisor \\ud83d\\udd38 full-time Trader Admin https://t.co/coesbZZWkW\\ud83c\\udf42 DM\'s Open. https://t.co/vKQLWBtUh3", "location": "Blockchain ", "followers": 2577, "following": 1342, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Fri Jul 26 11:02:06 +0000 2024", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 29850, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 2396, "statusesCount": 21204, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1997296726919831747"], "profile_bio": {"description": "! Not a financial advisor \\ud83d\\udd38 full-time Trader Admin https://t.co/coesbZZWkW\\ud83c\\udf42 DM\'s Open. https://t.co/vKQLWBtUh3"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/u94skDkwYJ", "expanded_url": "https://x.com/societyknowsjay/status/2012631376009302462/photo/1", "id_str": "2012631367046057984", "indices": [22, 45], "media_key": "3_2012631367046057984", "media_url_https": "https://pbs.twimg.com/media/G-5NkKCW0AAQ7Ec.jpg", "type": "photo", "url": "https://t.co/u94skDkwYJ", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "medium": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "small": {"faces": [{"x": 290, "y": 378, "h": 48, "w": 48}]}, "orig": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}}, "sizes": {"large": {"h": 1125, "w": 1040, "resize": "fit"}, "medium": {"h": 1125, "w": 1040, "resize": "fit"}, "small": {"h": 680, "w": 629, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1125, "width": 1040, "focus_rects": [{"x": 0, "y": 524, "w": 1040, "h": 582}, {"x": 0, "y": 85, "w": 1040, "h": 1040}, {"x": 0, "y": 0, "w": 987, "h": 1125}, {"x": 196, "y": 0, "w": 563, "h": 1125}, {"x": 0, "y": 0, "w": 1040, "h": 1125}]}, "media_results": {"result": {"media_key": "3_2012631367046057984"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/u94skDkwYJ", "expanded_url": "https://x.com/societyknowsjay/status/2012631376009302462/photo/1", "id_str": "2012631367046057984", "indices": [22, 45], "media_key": "3_2012631367046057984", "media_url_https": "https://pbs.twimg.com/media/G-5NkKCW0AAQ7Ec.jpg", "type": "photo", "url": "https://t.co/u94skDkwYJ", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "medium": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}, "small": {"faces": [{"x": 290, "y": 378, "h": 48, "w": 48}]}, "orig": {"faces": [{"x": 481, "y": 625, "h": 80, "w": 80}]}}, "sizes": {"large": {"h": 1125, "w": 1040, "resize": "fit"}, "medium": {"h": 1125, "w": 1040, "resize": "fit"}, "small": {"h": 680, "w": 629, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 1125, "width": 1040, "focus_rects": [{"x": 0, "y": 524, "w": 1040, "h": 582}, {"x": 0, "y": 85, "w": 1040, "h": 1040}, {"x": 0, "y": 0, "w": 987, "h": 1125}, {"x": 196, "y": 0, "w": 563, "h": 1125}, {"x": 0, "y": 0, "w": 1040, "h": 1125}]}, "media_results": {"result": {"media_key": "3_2012631367046057984"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1997191130866454528", "name": "\\u1eccm\\u1ecd Akin", "screen_name": "GuyMr10", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'created_at': '2026-01-21 16:24:39', 'platform': 'Twitter', 'source_url': 'https://x.com/societyknowsjay/status/2012631376009302462', 'source_id': '2012631376009302462'}
@CHULLY1010 Obough giran https://t.co/52NVCivUvl
{'llm_result': '{"id":"7","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_ctx': '{"type": "tweet", "id": "2012630372119425292", "url": "https://x.com/HubBeat38312/status/2012630372119425292", "twitterUrl": "https://twitter.com/HubBeat38312/status/2012630372119425292", "text": "@CHULLY1010 Obough giran https://t.co/52NVCivUvl", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 1, "quoteCount": 0, "viewCount": 42, "createdAt": "Sat Jan 17 20:57:28 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012440880817336477", "conversationId": "2012440880817336477", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "HubBeat38312", "url": "https://x.com/HubBeat38312", "twitterUrl": "https://twitter.com/HubBeat38312", "id": "1991880429826420736", "name": "beat/instrumental hub", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1991880679001292800/ph59aVis_normal.jpg", "coverPicture": "", "description": "Music producer /Beat maker Mixing and mastering Eng \\ud83c\\udfb6 \\ud83c\\udfa4", "location": "", "followers": 5, "following": 51, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Fri Nov 21 14:44:52 +0000 2025", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 2232, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 18, "statusesCount": 453, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["2009340136387997777"], "profile_bio": {"description": "Music producer /Beat maker Mixing and mastering Eng \\ud83c\\udfb6 \\ud83c\\udfa4"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/52NVCivUvl", "expanded_url": "https://x.com/HubBeat38312/status/2012630372119425292/photo/1", "id_str": "2012630362661249024", "indices": [25, 48], "media_key": "3_2012630362661249024", "media_url_https": "https://pbs.twimg.com/media/G-5MpsaW4AAxq_E.jpg", "type": "photo", "url": "https://t.co/52NVCivUvl", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": []}, "medium": {"faces": []}, "small": {"faces": []}, "orig": {"faces": []}}, "sizes": {"large": {"h": 750, "w": 693, "resize": "fit"}, "medium": {"h": 750, "w": 693, "resize": "fit"}, "small": {"h": 680, "w": 628, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 750, "width": 693, "focus_rects": [{"x": 0, "y": 349, "w": 693, "h": 388}, {"x": 0, "y": 57, "w": 693, "h": 693}, {"x": 0, "y": 0, "w": 658, "h": 750}, {"x": 131, "y": 0, "w": 375, "h": 750}, {"x": 0, "y": 0, "w": 693, "h": 750}]}, "media_results": {"result": {"media_key": "3_2012630362661249024"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/52NVCivUvl", "expanded_url": "https://x.com/HubBeat38312/status/2012630372119425292/photo/1", "id_str": "2012630362661249024", "indices": [25, 48], "media_key": "3_2012630362661249024", "media_url_https": "https://pbs.twimg.com/media/G-5MpsaW4AAxq_E.jpg", "type": "photo", "url": "https://t.co/52NVCivUvl", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": []}, "medium": {"faces": []}, "small": {"faces": []}, "orig": {"faces": []}}, "sizes": {"large": {"h": 750, "w": 693, "resize": "fit"}, "medium": {"h": 750, "w": 693, "resize": "fit"}, "small": {"h": 680, "w": 628, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 750, "width": 693, "focus_rects": [{"x": 0, "y": 349, "w": 693, "h": 388}, {"x": 0, "y": 57, "w": 693, "h": 693}, {"x": 0, "y": 0, "w": 658, "h": 750}, {"x": 131, "y": 0, "w": 375, "h": 750}, {"x": 0, "y": 0, "w": 693, "h": 750}]}, "media_results": {"result": {"media_key": "3_2012630362661249024"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1463306990675841026", "name": "AYANFE", "screen_name": "CHULLY1010", "indices": [0, 11]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'platform': 'Twitter', 'id': 7, 'created_at': '2026-01-21 16:24:39', 'source_id': '2012630372119425292', 'source_url': 'https://x.com/HubBeat38312/status/2012630372119425292'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @CHULLY1010 Obough giran https://t.co/52NVCivUvl ### Response: {'llm_result': '{"id":"7","narratives":[{"narrative_family":"Slang","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.5,"negativity_score":0.0,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","ambiguous"],"ambiguity_level":0.9,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'source_ctx': '{"type": "tweet", "id": "2012630372119425292", "url": "https://x.com/HubBeat38312/status/2012630372119425292", "twitterUrl": "https://twitter.com/HubBeat38312/status/2012630372119425292", "text": "@CHULLY1010 Obough giran https://t.co/52NVCivUvl", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 1, "quoteCount": 0, "viewCount": 42, "createdAt": "Sat Jan 17 20:57:28 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012440880817336477", "conversationId": "2012440880817336477", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "HubBeat38312", "url": "https://x.com/HubBeat38312", "twitterUrl": "https://twitter.com/HubBeat38312", "id": "1991880429826420736", "name": "beat/instrumental hub", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1991880679001292800/ph59aVis_normal.jpg", "coverPicture": "", "description": "Music producer /Beat maker Mixing and mastering Eng \\ud83c\\udfb6 \\ud83c\\udfa4", "location": "", "followers": 5, "following": 51, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Fri Nov 21 14:44:52 +0000 2025", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 2232, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 18, "statusesCount": 453, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["2009340136387997777"], "profile_bio": {"description": "Music producer /Beat maker Mixing and mastering Eng \\ud83c\\udfb6 \\ud83c\\udfa4"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/52NVCivUvl", "expanded_url": "https://x.com/HubBeat38312/status/2012630372119425292/photo/1", "id_str": "2012630362661249024", "indices": [25, 48], "media_key": "3_2012630362661249024", "media_url_https": "https://pbs.twimg.com/media/G-5MpsaW4AAxq_E.jpg", 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@Dharmilolarr01 Obough freckles 😋 https://t.co/ScPnmdRSdK
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null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Marvins_204", "url": "https://x.com/Marvins_204", "twitterUrl": "https://twitter.com/Marvins_204", "id": "1741777636110540800", "name": "Marvellous\\ud83c\\udde8\\ud83c\\udde6\\ud83c\\uddf3\\ud83c\\uddec\\ud83d\\ude0e", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1983969090113806336/iczree9q_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1741777636110540800/1748932061", "description": "Just here to entertain and vibe \\ud83d\\ude0e\\ud83d\\udc99\\nFull time Chelsea fan \\ud83d\\udc99\\ud83d\\udc99", "location": "Benin-City, Nigeria", "followers": 143, "following": 209, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Mon Jan 01 11:07:40 +0000 2024", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 1403, "hasCustomTimelines": true, "isTranslator": false, 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'https://x.com/Marvins_204/status/2012629499469234640'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @Dharmilolarr01 Obough freckles 😋 https://t.co/ScPnmdRSdK ### Response: {'llm_result': '{"id":"8","narratives":[{"narrative_family":"Sexual Humor","broad_category":"neutral","focused_category":"sexual_appreciation_neutral","confidence_score":0.6,"negativity_score":0.1,"positivity_score":0.4,"target_group":null}],"post_level_attributes":{"overall_tone":["informal","appreciative"],"ambiguity_level":0.6,"plausibly_benign":true,"overall_positivity_score":0.5}}', 'platform': 'Twitter', 'id': 8, 'source_ctx': '{"type": "tweet", "id": "2012629499469234640", "url": "https://x.com/Marvins_204/status/2012629499469234640", "twitterUrl": "https://twitter.com/Marvins_204/status/2012629499469234640", "text": "@Dharmilolarr01 Obough freckles \\ud83d\\ude0b https://t.co/ScPnmdRSdK", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 2, "createdAt": "Sat Jan 17 20:54:00 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012538155316945116", "conversationId": "2012538155316945116", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Marvins_204", "url": "https://x.com/Marvins_204", "twitterUrl": "https://twitter.com/Marvins_204", "id": "1741777636110540800", "name": "Marvellous\\ud83c\\udde8\\ud83c\\udde6\\ud83c\\uddf3\\ud83c\\uddec\\ud83d\\ude0e", "isVerified": false, "isBlueVerified": false, "profilePicture": 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“Opueh” “obough” “kpekus” 🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮 the worse “preek” ☠️💀
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"userName": "lorenischeap", "url": "https://x.com/lorenischeap", "twitterUrl": "https://twitter.com/lorenischeap", "id": "1612702970373701632", "name": "Ibleedpalmwine\\ud83c\\udde7\\ud83c\\uddea", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/2004648986737520641/UygvEm2A_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1612702970373701632/1768132727", "description": "\\ud83e\\ude7a\\ud83c\\udfc0\\u26bd\\ufe0f| Elona Musk | Tottenham Hotspurs| LIMCA | car freak)| 30BG (basketball)\\ud83c\\uddfb\\ud83c\\uddea\\ud83c\\uddf3\\ud83c\\uddec| money \\u2022 money \\u2022 money", "location": "SamEthnan AirForce Base, Ikeja", "followers": 1541, "following": 1809, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Tue Jan 10 06:49:04 +0000 2023", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 27018, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 533, "statusesCount": 15060, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["2010294842094669895"], "profile_bio": {"description": "\\ud83e\\ude7a\\ud83c\\udfc0\\u26bd\\ufe0f| Elona Musk | Tottenham Hotspurs| LIMCA | car freak)| 30BG (basketball)\\ud83c\\uddfb\\ud83c\\uddea\\ud83c\\uddf3\\ud83c\\uddec| money \\u2022 money \\u2022 money"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": {"type": "tweet", "id": "2012237581241462985", "url": "https://x.com/goathlisbergerr/status/2012237581241462985", "twitterUrl": "https://twitter.com/goathlisbergerr/status/2012237581241462985", "text": "i hate that word opueh so much man", "source": "", "retweetCount": 137, "replyCount": 27, "likeCount": 492, "quoteCount": 15, "viewCount": 12976, "createdAt": "Fri Jan 16 18:56:39 +0000 2026", "lang": "en", "bookmarkCount": 9, "isReply": false, "inReplyToId": null, "conversationId": "2012237581241462985", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "goathlisbergerr", "url": "https://x.com/goathlisbergerr", "twitterUrl": "https://twitter.com/goathlisbergerr", "id": "1355033748660772866", "name": "OBAFEMI GOATHLISBERGER", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1992180095293796352/zkmby6Y__normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1355033748660772866/1740676172", "description": "i can\\u2019t swim. i love and make music, i love art. songwriter.", "location": "FWAG", "followers": 1117, "following": 772, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Fri Jan 29 06:03:38 +0000 2021", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 12826, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 432, "statusesCount": 3278, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["2011149191209439535"], "profile_bio": {"description": "i can\\u2019t swim. i love and make music, i love art. songwriter."}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false}, "retweeted_tweet": null, "isConversationControlled": false, "isQuote": true, "searchTermIndex": 0}', 'source_id': '2012629232459902986', 'source_url': 'https://x.com/lorenischeap/status/2012629232459902986', 'llm_result': '{"id":"9","narratives":[{"narrative_family":"Language Commentary","broad_category":"civic_discourse","focused_category":"language_civic_discourse","confidence_score":0.8,"negativity_score":0.4,"positivity_score":0.2,"target_group":"Users of sexual slang"}],"post_level_attributes":{"overall_tone":["critical","derogatory","informal"],"ambiguity_level":0.3,"plausibly_benign":true,"overall_positivity_score":0.2}}', 'id': 9}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: “Opueh” “obough” “kpekus” 🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮🤮 the worse “preek” ☠️💀 ### Response: {'created_at': '2026-01-21 16:24:40', 'platform': 'Twitter', 'source_ctx': '{"type": "tweet", "id": "2012629232459902986", "url": "https://x.com/lorenischeap/status/2012629232459902986", "twitterUrl": "https://twitter.com/lorenischeap/status/2012629232459902986", "text": "\\u201cOpueh\\u201d \\u201cobough\\u201d \\u201ckpekus\\u201d \\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e\\ud83e\\udd2e the worse \\u201cpreek\\u201d \\u2620\\ufe0f\\ud83d\\udc80", "source": "", "retweetCount": 1, "replyCount": 0, "likeCount": 4, "quoteCount": 0, "viewCount": 16, "createdAt": "Sat Jan 17 20:52:56 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": false, "inReplyToId": null, "conversationId": "2012629232459902986", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "lorenischeap", "url": "https://x.com/lorenischeap", "twitterUrl": "https://twitter.com/lorenischeap", "id": "1612702970373701632", "name": "Ibleedpalmwine\\ud83c\\udde7\\ud83c\\uddea", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/2004648986737520641/UygvEm2A_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1612702970373701632/1768132727", "description": "\\ud83e\\ude7a\\ud83c\\udfc0\\u26bd\\ufe0f| Elona Musk | Tottenham Hotspurs| LIMCA | car freak)| 30BG (basketball)\\ud83c\\uddfb\\ud83c\\uddea\\ud83c\\uddf3\\ud83c\\uddec| money \\u2022 money \\u2022 money", "location": "SamEthnan AirForce Base, Ikeja", "followers": 1541, "following": 1809, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Tue Jan 10 06:49:04 +0000 2023", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 27018, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 533, "statusesCount": 15060, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["2010294842094669895"], "profile_bio": {"description": "\\ud83e\\ude7a\\ud83c\\udfc0\\u26bd\\ufe0f| Elona Musk | Tottenham Hotspurs| LIMCA | car freak)| 30BG (basketball)\\ud83c\\uddfb\\ud83c\\uddea\\ud83c\\uddf3\\ud83c\\uddec| money \\u2022 money \\u2022 money"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": {"type": "tweet", "id": "2012237581241462985", "url": "https://x.com/goathlisbergerr/status/2012237581241462985", "twitterUrl": "https://twitter.com/goathlisbergerr/status/2012237581241462985", "text": "i hate that word opueh so much man", "source": "", "retweetCount": 137, "replyCount": 27, "likeCount": 492, "quoteCount": 15, "viewCount": 12976, "createdAt": "Fri Jan 16 18:56:39 +0000 2026", "lang": "en", "bookmarkCount": 9, "isReply": false, "inReplyToId": null, "conversationId": "2012237581241462985", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "goathlisbergerr", "url": "https://x.com/goathlisbergerr", "twitterUrl": "https://twitter.com/goathlisbergerr", "id": "1355033748660772866", "name": "OBAFEMI GOATHLISBERGER", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1992180095293796352/zkmby6Y__normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1355033748660772866/1740676172", "description": "i can\\u2019t swim. i love and make music, i love art. songwriter.", "location": "FWAG", "followers": 1117, "following": 772, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Fri Jan 29 06:03:38 +0000 2021", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 12826, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 432, "statusesCount": 3278, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["2011149191209439535"], "profile_bio": {"description": "i can\\u2019t swim. i love and make music, i love art. songwriter."}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false}, "retweeted_tweet": null, "isConversationControlled": false, "isQuote": true, "searchTermIndex": 0}', 'source_id': '2012629232459902986', 'source_url': 'https://x.com/lorenischeap/status/2012629232459902986', 'llm_result': '{"id":"9","narratives":[{"narrative_family":"Language Commentary","broad_category":"civic_discourse","focused_category":"language_civic_discourse","confidence_score":0.8,"negativity_score":0.4,"positivity_score":0.2,"target_group":"Users of sexual slang"}],"post_level_attributes":{"overall_tone":["critical","derogatory","informal"],"ambiguity_level":0.3,"plausibly_benign":true,"overall_positivity_score":0.2}}', 'id': 9}
Omor this one dey svck obough like mad Nah why God curse am
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Oh, and Beans is my favorite food. A proud Outsider \\ud83e\\udd8d *Slide into my DM for ads & PR* \\u27a1\\ufe0fBackup: @Auntyscrummy", "location": "Lagos, Nigeria", "followers": 142867, "following": 7425, "status": "", "canDm": true, "canMediaTag": false, "createdAt": "Thu Jun 30 11:40:00 +0000 2022", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 51962, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 6762, "statusesCount": 161147, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": [], "profile_bio": {"description": "MY TWEETS ARE ALL CRUISE\\ud83e\\udd2d! Oh, and Beans is my favorite food. A proud Outsider \\ud83e\\udd8d *Slide into my DM for ads & PR* \\u27a1\\ufe0fBackup: @Auntyscrummy"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/b15qseuUuY", "expanded_url": "https://x.com/iamscrummy_/status/2012552480341586321/photo/1", "id_str": "2012552470849843200", "indices": [23, 46], "media_key": "3_2012552470849843200", "media_url_https": "https://pbs.twimg.com/media/G-4FzyzW8AAGRnc.jpg", "type": "photo", "url": "https://t.co/b15qseuUuY", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 402, "y": 444, "h": 1018, "w": 1018}]}, "medium": {"faces": [{"x": 235, "y": 260, "h": 596, "w": 596}]}, "small": {"faces": [{"x": 133, "y": 147, "h": 338, "w": 338}]}, "orig": {"faces": [{"x": 402, "y": 444, "h": 1018, "w": 1018}]}}, "sizes": {"large": {"h": 2048, "w": 1601, "resize": "fit"}, "medium": {"h": 1200, "w": 938, "resize": "fit"}, "small": {"h": 680, "w": 532, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 2048, "width": 1601, "focus_rects": [{"x": 0, "y": 524, "w": 1601, "h": 897}, {"x": 0, "y": 172, "w": 1601, "h": 1601}, {"x": 0, "y": 60, "w": 1601, "h": 1825}, {"x": 460, "y": 0, "w": 1024, "h": 2048}, {"x": 0, "y": 0, "w": 1601, "h": 2048}]}, "allow_download_status": {"allow_download": true}, "media_results": {"result": {"media_key": "3_2012552470849843200"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/b15qseuUuY", "expanded_url": "https://x.com/iamscrummy_/status/2012552480341586321/photo/1", "id_str": "2012552470849843200", "indices": [23, 46], "media_key": "3_2012552470849843200", "media_url_https": "https://pbs.twimg.com/media/G-4FzyzW8AAGRnc.jpg", "type": "photo", "url": "https://t.co/b15qseuUuY", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 402, "y": 444, "h": 1018, "w": 1018}]}, "medium": {"faces": [{"x": 235, "y": 260, "h": 596, "w": 596}]}, "small": {"faces": [{"x": 133, "y": 147, "h": 338, "w": 338}]}, "orig": {"faces": [{"x": 402, "y": 444, "h": 1018, "w": 1018}]}}, "sizes": {"large": {"h": 2048, "w": 1601, "resize": "fit"}, "medium": {"h": 1200, "w": 938, "resize": "fit"}, "small": {"h": 680, "w": 532, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 2048, "width": 1601, "focus_rects": [{"x": 0, "y": 524, "w": 1601, "h": 897}, {"x": 0, "y": 172, "w": 1601, "h": 1601}, {"x": 0, "y": 60, "w": 1601, "h": 1825}, {"x": 460, "y": 0, "w": 1024, "h": 2048}, {"x": 0, "y": 0, "w": 1601, "h": 2048}]}, "allow_download_status": {"allow_download": true}, "media_results": {"result": {"media_key": "3_2012552470849843200"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false}, "retweeted_tweet": null, "isConversationControlled": false, "isQuote": true, "searchTermIndex": 0}', 'source_id': '2012629216123101219', 'llm_result': '{"id":"10","narratives":[{"narrative_family":"Slut-shaming","broad_category":"hate","focused_category":"women_hate","confidence_score":0.9,"negativity_score":0.7,"positivity_score":0.0,"target_group":"women"}],"post_level_attributes":{"overall_tone":["derogatory","hateful","judgmental"],"ambiguity_level":0.2,"plausibly_benign":false,"overall_positivity_score":0.1}}'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: Omor this one dey svck obough like mad Nah why God curse am ### Response: {'source_url': 'https://x.com/Big_stiny/status/2012629216123101219', 'created_at': '2026-01-21 16:24:40', 'id': 10, 'platform': 'Twitter', 'source_ctx': '{"type": "tweet", "id": "2012629216123101219", "url": "https://x.com/Big_stiny/status/2012629216123101219", "twitterUrl": "https://twitter.com/Big_stiny/status/2012629216123101219", "text": "Omor this one dey svck obough like mad \\nNah why God curse am", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 22, "createdAt": "Sat Jan 17 20:52:52 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": false, "inReplyToId": null, "conversationId": "2012629216123101219", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Big_stiny", "url": "https://x.com/Big_stiny", "twitterUrl": "https://twitter.com/Big_stiny", "id": "1696181633743749120", "name": "\\u0ec8", "isVerified": false, "isBlueVerified": true, "profilePicture": "https://pbs.twimg.com/profile_images/1983130428979445761/X35BW7hq_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1696181633743749120/1761652477", "description": "THIS USER STAN @heisrema", "location": "", "followers": 1953, "following": 1874, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Mon Aug 28 15:23:45 +0000 2023", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 82476, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 697, "statusesCount": 11708, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["2012632600477638824"], "profile_bio": {"description": "THIS USER STAN @heisrema"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": {"type": "tweet", "id": "2012552480341586321", "url": "https://x.com/iamscrummy_/status/2012552480341586321", "twitterUrl": "https://twitter.com/iamscrummy_/status/2012552480341586321", "text": "What could cause this? https://t.co/b15qseuUuY", "source": "", "retweetCount": 126, "replyCount": 1637, "likeCount": 1279, "quoteCount": 294, "viewCount": 513474, "createdAt": "Sat Jan 17 15:47:57 +0000 2026", "lang": "en", "bookmarkCount": 305, "isReply": false, "inReplyToId": null, "conversationId": "2012552480341586321", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "iamscrummy_", "url": "https://x.com/iamscrummy_", "twitterUrl": "https://twitter.com/iamscrummy_", "id": "1542472963731103744", "name": "SCRUMMY", "isVerified": false, "isBlueVerified": true, "profilePicture": "https://pbs.twimg.com/profile_images/1542473384646397954/bgpo31Zl_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1542472963731103744/1656589682", "description": "MY TWEETS ARE ALL CRUISE\\ud83e\\udd2d! 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Obough Digestive e gbewa 😅🫴
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@bad_since01"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": {"type": "tweet", "id": "2012600884954284372", "url": "https://x.com/daisha_085/status/2012600884954284372", "twitterUrl": "https://twitter.com/daisha_085/status/2012600884954284372", "text": "\\ud83e\\ude77\\ud83c\\udf80 https://t.co/gWh8AbRNHd", "source": "", "retweetCount": 20, "replyCount": 22, "likeCount": 489, "quoteCount": 2, "viewCount": 11425, "createdAt": "Sat Jan 17 19:00:17 +0000 2026", "lang": "qme", "bookmarkCount": 44, "isReply": false, "inReplyToId": null, "conversationId": "2012600884954284372", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "daisha_085", "url": "https://x.com/daisha_085", "twitterUrl": 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'{"id":"11","narratives":[{"narrative_family":"Sexual_Objectification","broad_category":"sexual_objectification","focused_category":"women_sexual_objectification","confidence_score":0.8,"negativity_score":0.6,"positivity_score":0.0,"target_group":"Women"}],"post_level_attributes":{"overall_tone":["casual","sexualized","crude"],"ambiguity_level":0.5,"plausibly_benign":false,"overall_positivity_score":0.2}}', 'source_url': 'https://x.com/Thisiskamal_/status/2012628708654235822', 'source_id': '2012628708654235822'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: Obough Digestive e gbewa 😅🫴 ### Response: {'platform': 'Twitter', 'created_at': '2026-01-21 16:24:41', 'id': 11, 'source_ctx': '{"type": "tweet", "id": "2012628708654235822", "url": "https://x.com/Thisiskamal_/status/2012628708654235822", "twitterUrl": "https://twitter.com/Thisiskamal_/status/2012628708654235822", "text": "Obough Digestive e gbewa \\ud83d\\ude05\\ud83e\\udef4", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 4, "createdAt": "Sat Jan 17 20:50:51 +0000 2026", "lang": "de", "bookmarkCount": 0, "isReply": false, "inReplyToId": null, "conversationId": "2012628708654235822", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "Thisiskamal_", "url": "https://x.com/Thisiskamal_", "twitterUrl": "https://twitter.com/Thisiskamal_", "id": "1334111748329246720", "name": "B\\u012e\\u011e__\\u0160\\u00e5\\u00e4\\u0127\\u00ee\\u00fe\\u00e3m\\u00e2\\u2694\\ufe0f\\u2694\\ufe0f", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1951218109991342080/-FgDKDLP_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1334111748329246720/1736722373", "description": "Big Wiz\\ud83d\\udda4\\ud83e\\udd85 | Manchester City\\ud83d\\udc99| Central Cee\\ud83d\\udcf2| Renewable Energy \\ud83e\\uddf0\\ud83d\\udd27 sc: @bad_since01", "location": "", "followers": 1229, "following": 1237, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Wed Dec 02 12:27:13 +0000 2020", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 16587, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 171, "statusesCount": 3725, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": [], "profile_bio": {"description": "Big Wiz\\ud83d\\udda4\\ud83e\\udd85 | Manchester City\\ud83d\\udc99| Central Cee\\ud83d\\udcf2| Renewable Energy \\ud83e\\uddf0\\ud83d\\udd27 sc: @bad_since01"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": {"type": "tweet", "id": "2012600884954284372", "url": "https://x.com/daisha_085/status/2012600884954284372", "twitterUrl": "https://twitter.com/daisha_085/status/2012600884954284372", "text": "\\ud83e\\ude77\\ud83c\\udf80 https://t.co/gWh8AbRNHd", "source": "", "retweetCount": 20, "replyCount": 22, "likeCount": 489, "quoteCount": 2, "viewCount": 11425, "createdAt": "Sat Jan 17 19:00:17 +0000 2026", "lang": "qme", "bookmarkCount": 44, "isReply": false, "inReplyToId": null, "conversationId": "2012600884954284372", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "daisha_085", "url": "https://x.com/daisha_085", "twitterUrl": "https://twitter.com/daisha_085", "id": "768860245108072448", "name": "\\ud83e\\udd0e\\ud83e\\udd40\\ud83d\\udda4", "isVerified": false, "isBlueVerified": true, "profilePicture": "https://pbs.twimg.com/profile_images/1815563371820834816/70NnRRVe_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/768860245108072448/1708660860", "description": "26\\ud83e\\udd0eLeo \\ud83e\\udd0e \\u201cLove Yourself Or No One Will\\u201d\\ud83e\\udd0e\\ud83e\\udd40The Freckled Rose That Grew From Concrete \\ud83e\\udd40\\ud83e\\udd0eFor Business daisha99h@gmail.com\\ud83e\\udd0e", "location": "No where\\ud83e\\uddd8\\ud83c\\udffe\\u200d\\u2640\\ufe0f", "followers": 77542, "following": 4404, "status": "", "canDm": true, "canMediaTag": false, "createdAt": "Thu Aug 25 17:19:02 +0000 2016", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 22328, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 683, "statusesCount": 3362, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1995565433085399137"], "profile_bio": {"description": "26\\ud83e\\udd0eLeo \\ud83e\\udd0e \\u201cLove Yourself Or No One Will\\u201d\\ud83e\\udd0e\\ud83e\\udd40The Freckled Rose That Grew From Concrete \\ud83e\\udd40\\ud83e\\udd0eFor Business daisha99h@gmail.com\\ud83e\\udd0e"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/gWh8AbRNHd", "expanded_url": "https://x.com/daisha_085/status/2012600884954284372/photo/1", "id_str": "2012600879535226881", "indices": [3, 26], "media_key": "3_2012600879535226881", "media_url_https": "https://pbs.twimg.com/media/G-4x1jNWAAEJY4q.jpg", "type": "photo", "url": "https://t.co/gWh8AbRNHd", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 712, "y": 1194, "h": 354, "w": 354}, {"x": 52, "y": 150, "h": 436, "w": 436}]}, "medium": {"faces": [{"x": 417, "y": 700, "h": 207, "w": 207}, {"x": 30, "y": 87, "h": 255, "w": 255}]}, "small": {"faces": [{"x": 236, "y": 396, "h": 117, "w": 117}, {"x": 17, "y": 49, "h": 144, "w": 144}]}, "orig": {"faces": [{"x": 712, "y": 1194, "h": 354, "w": 354}, {"x": 52, "y": 150, "h": 436, "w": 436}]}}, "sizes": {"large": {"h": 2048, "w": 1153, "resize": "fit"}, "medium": {"h": 1200, "w": 676, "resize": "fit"}, "small": {"h": 680, "w": 383, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 2048, "width": 1153, "focus_rects": [{"x": 0, "y": 1059, "w": 1153, "h": 646}, {"x": 0, "y": 806, "w": 1153, "h": 1153}, {"x": 0, "y": 725, "w": 1153, "h": 1314}, {"x": 129, "y": 0, "w": 1024, "h": 2048}, {"x": 0, "y": 0, "w": 1153, "h": 2048}]}, "media_results": {"result": {"media_key": "3_2012600879535226881"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/gWh8AbRNHd", "expanded_url": "https://x.com/daisha_085/status/2012600884954284372/photo/1", "id_str": "2012600879535226881", "indices": [3, 26], "media_key": "3_2012600879535226881", "media_url_https": "https://pbs.twimg.com/media/G-4x1jNWAAEJY4q.jpg", "type": "photo", "url": "https://t.co/gWh8AbRNHd", "ext_media_availability": {"status": "Available"}, "features": {"large": {"faces": [{"x": 712, "y": 1194, "h": 354, "w": 354}, {"x": 52, "y": 150, "h": 436, "w": 436}]}, "medium": {"faces": [{"x": 417, "y": 700, "h": 207, "w": 207}, {"x": 30, "y": 87, "h": 255, "w": 255}]}, "small": {"faces": [{"x": 236, "y": 396, "h": 117, "w": 117}, {"x": 17, "y": 49, "h": 144, "w": 144}]}, "orig": {"faces": [{"x": 712, "y": 1194, "h": 354, "w": 354}, {"x": 52, "y": 150, "h": 436, "w": 436}]}}, "sizes": {"large": {"h": 2048, "w": 1153, "resize": "fit"}, "medium": {"h": 1200, "w": 676, "resize": "fit"}, "small": {"h": 680, "w": 383, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 2048, "width": 1153, "focus_rects": [{"x": 0, "y": 1059, "w": 1153, "h": 646}, {"x": 0, "y": 806, "w": 1153, "h": 1153}, {"x": 0, "y": 725, "w": 1153, "h": 1314}, {"x": 129, "y": 0, "w": 1024, "h": 2048}, {"x": 0, "y": 0, "w": 1153, "h": 2048}]}, "media_results": {"result": {"media_key": "3_2012600879535226881"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": []}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false}, "retweeted_tweet": null, "isConversationControlled": false, "isQuote": true, "searchTermIndex": 0}', 'llm_result': '{"id":"11","narratives":[{"narrative_family":"Sexual_Objectification","broad_category":"sexual_objectification","focused_category":"women_sexual_objectification","confidence_score":0.8,"negativity_score":0.6,"positivity_score":0.0,"target_group":"Women"}],"post_level_attributes":{"overall_tone":["casual","sexualized","crude"],"ambiguity_level":0.5,"plausibly_benign":false,"overall_positivity_score":0.2}}', 'source_url': 'https://x.com/Thisiskamal_/status/2012628708654235822', 'source_id': '2012628708654235822'}
@raphousetv2 Chai. Baba go kiss obough😔
{'llm_result': '{"id":"12","narratives":[{"narrative_family":"Sexual_Objectification","broad_category":"sexual_objectification","focused_category":"women_sexual_objectification","confidence_score":0.9,"negativity_score":0.7,"positivity_score":0.0,"target_group":"Women"}],"post_level_attributes":{"overall_tone":["casual","sexualized","crude"],"ambiguity_level":0.4,"plausibly_benign":false,"overall_positivity_score":0.1}}', 'created_at': '2026-01-21 16:24:41', 'id': 12, 'source_ctx': '{"type": "tweet", "id": "2012628210572218836", "url": "https://x.com/SoLiD_FR3AK/status/2012628210572218836", "twitterUrl": "https://twitter.com/SoLiD_FR3AK/status/2012628210572218836", "text": "@raphousetv2 Chai. Baba go kiss obough\\ud83d\\ude14", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 2, "createdAt": "Sat Jan 17 20:48:52 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012361111727755531", "conversationId": "2012361111727755531", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "SoLiD_FR3AK", "url": "https://x.com/SoLiD_FR3AK", "twitterUrl": "https://twitter.com/SoLiD_FR3AK", "id": "1429032628808785923", "name": "Pero_", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1986681530345787392/ATNEaLye_normal.jpg", "coverPicture": "", "description": "Cryptocurrency Enthusiasts \\ud83d\\udcc8\\ud83d\\udcc9\\ud83d\\udcca\\ud83d\\udcc8\\ud83d\\udcb9\\ud83d\\udcb8\\ud83d\\udcb5\\ud83d\\udcb0\\ud83e\\udd11", "location": "", "followers": 25, "following": 261, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Sat Aug 21 10:50:28 +0000 2021", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 428, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 42, "statusesCount": 1453, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": [], "profile_bio": {"description": "Cryptocurrency Enthusiasts \\ud83d\\udcc8\\ud83d\\udcc9\\ud83d\\udcca\\ud83d\\udcc8\\ud83d\\udcb9\\ud83d\\udcb8\\ud83d\\udcb5\\ud83d\\udcb0\\ud83e\\udd11"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1363507003545456640", "name": "Raphousetv (RHTV)", "screen_name": "raphousetv2", "indices": [0, 12]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'source_id': '2012628210572218836', 'platform': 'Twitter', 'source_url': 'https://x.com/SoLiD_FR3AK/status/2012628210572218836'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @raphousetv2 Chai. Baba go kiss obough😔 ### Response: {'llm_result': '{"id":"12","narratives":[{"narrative_family":"Sexual_Objectification","broad_category":"sexual_objectification","focused_category":"women_sexual_objectification","confidence_score":0.9,"negativity_score":0.7,"positivity_score":0.0,"target_group":"Women"}],"post_level_attributes":{"overall_tone":["casual","sexualized","crude"],"ambiguity_level":0.4,"plausibly_benign":false,"overall_positivity_score":0.1}}', 'created_at': '2026-01-21 16:24:41', 'id': 12, 'source_ctx': '{"type": "tweet", "id": "2012628210572218836", "url": "https://x.com/SoLiD_FR3AK/status/2012628210572218836", "twitterUrl": "https://twitter.com/SoLiD_FR3AK/status/2012628210572218836", "text": "@raphousetv2 Chai. Baba go kiss obough\\ud83d\\ude14", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 2, "createdAt": "Sat Jan 17 20:48:52 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012361111727755531", "conversationId": "2012361111727755531", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "SoLiD_FR3AK", "url": "https://x.com/SoLiD_FR3AK", "twitterUrl": "https://twitter.com/SoLiD_FR3AK", "id": "1429032628808785923", "name": "Pero_", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1986681530345787392/ATNEaLye_normal.jpg", "coverPicture": "", "description": "Cryptocurrency Enthusiasts \\ud83d\\udcc8\\ud83d\\udcc9\\ud83d\\udcca\\ud83d\\udcc8\\ud83d\\udcb9\\ud83d\\udcb8\\ud83d\\udcb5\\ud83d\\udcb0\\ud83e\\udd11", "location": "", "followers": 25, "following": 261, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Sat Aug 21 10:50:28 +0000 2021", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 428, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 42, "statusesCount": 1453, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": [], "profile_bio": {"description": "Cryptocurrency Enthusiasts \\ud83d\\udcc8\\ud83d\\udcc9\\ud83d\\udcca\\ud83d\\udcc8\\ud83d\\udcb9\\ud83d\\udcb8\\ud83d\\udcb5\\ud83d\\udcb0\\ud83e\\udd11"}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1363507003545456640", "name": "Raphousetv (RHTV)", "screen_name": "raphousetv2", "indices": [0, 12]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}', 'source_id': '2012628210572218836', 'platform': 'Twitter', 'source_url': 'https://x.com/SoLiD_FR3AK/status/2012628210572218836'}
@LilSeg_ pity her obough
{'platform': 'Twitter', 'created_at': '2026-01-21 16:24:41', 'source_url': 'https://x.com/_pauliegee/status/2012626342932619536', 'llm_result': '{"id":"13","narratives":[{"narrative_family":"Sexual_Objectification","broad_category":"sexual_objectification","focused_category":"women_sexual_objectification","confidence_score":0.8,"negativity_score":0.6,"positivity_score":0.0,"target_group":"Women"}],"post_level_attributes":{"overall_tone":["casual","derogatory"],"ambiguity_level":0.4,"plausibly_benign":false,"overall_positivity_score":0.1}}', 'source_id': '2012626342932619536', 'id': 13, 'source_ctx': '{"type": "tweet", "id": "2012626342932619536", "url": "https://x.com/_pauliegee/status/2012626342932619536", "twitterUrl": "https://twitter.com/_pauliegee/status/2012626342932619536", "text": "@LilSeg_ pity her obough", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 6, "createdAt": "Sat Jan 17 20:41:27 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012625045965635700", "conversationId": "2012603367403495660", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "_pauliegee", "url": "https://x.com/_pauliegee", "twitterUrl": "https://twitter.com/_pauliegee", "id": "1204298381218242561", "name": "\\ud83d\\udc2c", "isVerified": false, "isBlueVerified": true, "profilePicture": "https://pbs.twimg.com/profile_images/1992917423826038784/eG3tAjCj_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1204298381218242561/1753781416", "description": "@_pauliegee is temporarily unavailable because it violates the Twitter Media Policy. Learn More.", "location": "gadget plug ", "followers": 3744, "following": 2395, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Tue Dec 10 07:15:09 +0000 2019", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 66893, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 656, "statusesCount": 74899, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1987783846453182515"], "profile_bio": {"description": "@_pauliegee is temporarily unavailable because it violates the Twitter Media Policy. Learn More."}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1517825881431056385", "name": "\\ud835\\udd43\\ud835\\udd40\\ud835\\udd43 \\ud835\\udd4a\\ud835\\udd3c\\ud835\\udd3e\\ud83e\\udd77", "screen_name": "LilSeg_", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @LilSeg_ pity her obough ### Response: {'platform': 'Twitter', 'created_at': '2026-01-21 16:24:41', 'source_url': 'https://x.com/_pauliegee/status/2012626342932619536', 'llm_result': '{"id":"13","narratives":[{"narrative_family":"Sexual_Objectification","broad_category":"sexual_objectification","focused_category":"women_sexual_objectification","confidence_score":0.8,"negativity_score":0.6,"positivity_score":0.0,"target_group":"Women"}],"post_level_attributes":{"overall_tone":["casual","derogatory"],"ambiguity_level":0.4,"plausibly_benign":false,"overall_positivity_score":0.1}}', 'source_id': '2012626342932619536', 'id': 13, 'source_ctx': '{"type": "tweet", "id": "2012626342932619536", "url": "https://x.com/_pauliegee/status/2012626342932619536", "twitterUrl": "https://twitter.com/_pauliegee/status/2012626342932619536", "text": "@LilSeg_ pity her obough", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 6, "createdAt": "Sat Jan 17 20:41:27 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012625045965635700", "conversationId": "2012603367403495660", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "_pauliegee", "url": "https://x.com/_pauliegee", "twitterUrl": "https://twitter.com/_pauliegee", "id": "1204298381218242561", "name": "\\ud83d\\udc2c", "isVerified": false, "isBlueVerified": true, "profilePicture": "https://pbs.twimg.com/profile_images/1992917423826038784/eG3tAjCj_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1204298381218242561/1753781416", "description": "@_pauliegee is temporarily unavailable because it violates the Twitter Media Policy. Learn More.", "location": "gadget plug ", "followers": 3744, "following": 2395, "status": "", "canDm": true, "canMediaTag": true, "createdAt": "Tue Dec 10 07:15:09 +0000 2019", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 66893, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 656, "statusesCount": 74899, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1987783846453182515"], "profile_bio": {"description": "@_pauliegee is temporarily unavailable because it violates the Twitter Media Policy. Learn More."}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {}, "card": null, "place": {}, "entities": {"hashtags": [], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1517825881431056385", "name": "\\ud835\\udd43\\ud835\\udd40\\ud835\\udd43 \\ud835\\udd4a\\ud835\\udd3c\\ud835\\udd3e\\ud83e\\udd77", "screen_name": "LilSeg_", "indices": [0, 8]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
@Dharmilolarr01 Obough frickles https://t.co/YLsXqs4NK8
{'created_at': '2026-01-21 16:24:42', 'source_id': '2012625460530761964', 'platform': 'Twitter', 'llm_result': '{"id":"14","narratives":[{"narrative_family":"Slang_Reference","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.6,"negativity_score":0.1,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["casual","ambiguous"],"ambiguity_level":0.8,"plausibly_benign":true,"overall_positivity_score":0.4}}', 'source_url': 'https://x.com/gr8terdhan/status/2012625460530761964', 'id': 14, 'source_ctx': '{"type": "tweet", "id": "2012625460530761964", "url": "https://x.com/gr8terdhan/status/2012625460530761964", "twitterUrl": "https://twitter.com/gr8terdhan/status/2012625460530761964", "text": "@Dharmilolarr01 Obough frickles https://t.co/YLsXqs4NK8", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 4, "createdAt": "Sat Jan 17 20:37:57 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012538155316945116", "conversationId": "2012538155316945116", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "gr8terdhan", "url": "https://x.com/gr8terdhan", "twitterUrl": "https://twitter.com/gr8terdhan", "id": "1671689715303546881", "name": "Gr8terdhan \\ud83d\\udc99", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1999072782097825792/f4C_eeEu_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1671689715303546881/1764425832", "description": "", "location": "", "followers": 99, "following": 431, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Thu Jun 22 01:21:28 +0000 2023", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 2785, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 179, "statusesCount": 2184, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1995557260504989705"], "profile_bio": {"description": ""}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/YLsXqs4NK8", "expanded_url": "https://x.com/gr8terdhan/status/2012625460530761964/photo/1", "ext_alt_text": "Bring Gbewa Oset GIF", "id_str": "2012625442302230529", "indices": [32, 55], "media_key": "16_2012625442302230529", "media_url_https": "https://pbs.twimg.com/tweet_video_thumb/G-5ILSpWgAE8ly-.jpg", "type": "animated_gif", "url": "https://t.co/YLsXqs4NK8", "ext_media_availability": {"status": "Available"}, "sizes": {"large": {"h": 388, "w": 180, "resize": "fit"}, "medium": {"h": 388, "w": 180, "resize": "fit"}, "small": {"h": 388, "w": 180, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 388, "width": 180, "focus_rects": []}, "video_info": {"aspect_ratio": [45, 97], "variants": [{"bitrate": 0, "content_type": "video/mp4", "url": "https://video.twimg.com/tweet_video/G-5ILSpWgAE8ly-.mp4"}]}, "media_results": {"result": {"media_key": "16_2012625442302230529"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/YLsXqs4NK8", "expanded_url": "https://x.com/gr8terdhan/status/2012625460530761964/photo/1", "ext_alt_text": "Bring Gbewa Oset GIF", "id_str": "2012625442302230529", "indices": [32, 55], "media_key": "16_2012625442302230529", "media_url_https": "https://pbs.twimg.com/tweet_video_thumb/G-5ILSpWgAE8ly-.jpg", "type": "animated_gif", "url": "https://t.co/YLsXqs4NK8", "ext_media_availability": {"status": "Available"}, "sizes": {"large": {"h": 388, "w": 180, "resize": "fit"}, "medium": {"h": 388, "w": 180, "resize": "fit"}, "small": {"h": 388, "w": 180, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 388, "width": 180, "focus_rects": []}, "video_info": {"aspect_ratio": [45, 97], "variants": [{"bitrate": 0, "content_type": "video/mp4", "url": "https://video.twimg.com/tweet_video/G-5ILSpWgAE8ly-.mp4"}]}, "media_results": {"result": {"media_key": "16_2012625442302230529"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1874569143615430656", "name": "\\ud83c\\udc04\\ufe0f\\u2764\\ufe0f", "screen_name": "Dharmilolarr01", "indices": [0, 15]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
### Instruction: You are performing weak narrative labeling for social media analysis. ## Rules - Do **NOT** perform moderation or enforcement. - Do **NOT** output binary labels. - Do **NOT** assess legality or policy compliance. - Express uncertainty explicitly via scores. - Multiple narratives may coexist. - Describe **language and framing only**, not intent. --- ## Task 1. Identify **ALL narratives present** (if any). 2. For **each narrative**, extract: - `narrative_family` - `broad_category` *(e.g. hate, political_grievance, civic_discourse, identity_pride, neutral)* - `focused_category` *(must follow `{target}_{broad_category}` or a stable variant)* - `confidence_score` *(0.0–1.0)* - `negativity_score` *(0.0–1.0)* - `positivity_score` *(0.0–1.0)* - `target_group` *(explicit or implicit)* 3. Provide **post-level attributes**: - `overall_tone` *(array)* - `ambiguity_level` *(0.0–1.0)* - `plausibly_benign` *(true/false)* - `overall_positivity_score` *(0.0–1.0)* - Represents the *aggregate constructive vs harmful framing of the entire post* - Should be **low** when hate, racist, exclusionary, or bigoted narratives dominate - Should not be “rescued” by neutral wording if hostile framing is present --- ## Scoring Definitions ### Negativity score - `0.0` = no harm signal - `0.3` = mild grievance or adversarial framing - `0.6` = strong blame, exclusion, stereotyping, or hostile framing - `1.0` = explicit dehumanization, incitement, or eradication framing ### Positivity score - `0.0` = no constructive or prosocial signal - `0.3` = neutral or descriptive framing - `0.6` = constructive, problem-solving, or inclusive framing - `1.0` = explicitly prosocial, unifying, or peace-building framing ### Overall positivity score (post-level) - `0.0–0.2` → Dominated by hate, racism, bigotry, or exclusionary framing - `0.3–0.5` → Mixed, ambiguous, or neutral with mild hostility - `0.6–0.8` → Mostly constructive or civic framing - `0.9–1.0` → Explicitly inclusive, prosocial, or reconciliatory --- ## Constraints - Positivity and negativity are **not opposites** and may both be non-zero. - Hate, racist, or bigoted framing **should strongly suppress overall positivity**, even if the tone is calm or academic. - Avoid extreme scores unless language is explicit. - Default to mid-range when ambiguous. ### Input: @Dharmilolarr01 Obough frickles https://t.co/YLsXqs4NK8 ### Response: {'created_at': '2026-01-21 16:24:42', 'source_id': '2012625460530761964', 'platform': 'Twitter', 'llm_result': '{"id":"14","narratives":[{"narrative_family":"Slang_Reference","broad_category":"neutral","focused_category":"slang_neutral","confidence_score":0.6,"negativity_score":0.1,"positivity_score":0.3,"target_group":null}],"post_level_attributes":{"overall_tone":["casual","ambiguous"],"ambiguity_level":0.8,"plausibly_benign":true,"overall_positivity_score":0.4}}', 'source_url': 'https://x.com/gr8terdhan/status/2012625460530761964', 'id': 14, 'source_ctx': '{"type": "tweet", "id": "2012625460530761964", "url": "https://x.com/gr8terdhan/status/2012625460530761964", "twitterUrl": "https://twitter.com/gr8terdhan/status/2012625460530761964", "text": "@Dharmilolarr01 Obough frickles https://t.co/YLsXqs4NK8", "source": "", "retweetCount": 0, "replyCount": 0, "likeCount": 0, "quoteCount": 0, "viewCount": 4, "createdAt": "Sat Jan 17 20:37:57 +0000 2026", "lang": "en", "bookmarkCount": 0, "isReply": true, "inReplyToId": "2012538155316945116", "conversationId": "2012538155316945116", "inReplyToUserId": null, "inReplyToUsername": null, "isPinned": false, "author": {"type": "user", "userName": "gr8terdhan", "url": "https://x.com/gr8terdhan", "twitterUrl": "https://twitter.com/gr8terdhan", "id": "1671689715303546881", "name": "Gr8terdhan \\ud83d\\udc99", "isVerified": false, "isBlueVerified": false, "profilePicture": "https://pbs.twimg.com/profile_images/1999072782097825792/f4C_eeEu_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1671689715303546881/1764425832", "description": "", "location": "", "followers": 99, "following": 431, "status": "", "canDm": false, "canMediaTag": true, "createdAt": "Thu Jun 22 01:21:28 +0000 2023", "entities": {"description": {"urls": []}, "url": {}}, "fastFollowersCount": 0, "favouritesCount": 2785, "hasCustomTimelines": true, "isTranslator": false, "mediaCount": 179, "statusesCount": 2184, "withheldInCountries": [], "affiliatesHighlightedLabel": {}, "possiblySensitive": false, "pinnedTweetIds": ["1995557260504989705"], "profile_bio": {"description": ""}, "isAutomated": false, "automatedBy": null}, "extendedEntities": {"media": [{"display_url": "pic.x.com/YLsXqs4NK8", "expanded_url": "https://x.com/gr8terdhan/status/2012625460530761964/photo/1", "ext_alt_text": "Bring Gbewa Oset GIF", "id_str": "2012625442302230529", "indices": [32, 55], "media_key": "16_2012625442302230529", "media_url_https": "https://pbs.twimg.com/tweet_video_thumb/G-5ILSpWgAE8ly-.jpg", "type": "animated_gif", "url": "https://t.co/YLsXqs4NK8", "ext_media_availability": {"status": "Available"}, "sizes": {"large": {"h": 388, "w": 180, "resize": "fit"}, "medium": {"h": 388, "w": 180, "resize": "fit"}, "small": {"h": 388, "w": 180, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 388, "width": 180, "focus_rects": []}, "video_info": {"aspect_ratio": [45, 97], "variants": [{"bitrate": 0, "content_type": "video/mp4", "url": "https://video.twimg.com/tweet_video/G-5ILSpWgAE8ly-.mp4"}]}, "media_results": {"result": {"media_key": "16_2012625442302230529"}}}]}, "card": null, "place": {}, "entities": {"hashtags": [], "media": [{"display_url": "pic.x.com/YLsXqs4NK8", "expanded_url": "https://x.com/gr8terdhan/status/2012625460530761964/photo/1", "ext_alt_text": "Bring Gbewa Oset GIF", "id_str": "2012625442302230529", "indices": [32, 55], "media_key": "16_2012625442302230529", "media_url_https": "https://pbs.twimg.com/tweet_video_thumb/G-5ILSpWgAE8ly-.jpg", "type": "animated_gif", "url": "https://t.co/YLsXqs4NK8", "ext_media_availability": {"status": "Available"}, "sizes": {"large": {"h": 388, "w": 180, "resize": "fit"}, "medium": {"h": 388, "w": 180, "resize": "fit"}, "small": {"h": 388, "w": 180, "resize": "fit"}, "thumb": {"h": 150, "w": 150, "resize": "crop"}}, "original_info": {"height": 388, "width": 180, "focus_rects": []}, "video_info": {"aspect_ratio": [45, 97], "variants": [{"bitrate": 0, "content_type": "video/mp4", "url": "https://video.twimg.com/tweet_video/G-5ILSpWgAE8ly-.mp4"}]}, "media_results": {"result": {"media_key": "16_2012625442302230529"}}}], "symbols": [], "timestamps": [], "urls": [], "user_mentions": [{"id_str": "1874569143615430656", "name": "\\ud83c\\udc04\\ufe0f\\u2764\\ufe0f", "screen_name": "Dharmilolarr01", "indices": [0, 15]}]}, "reply_to_user_results": null, "quoted_tweet_results": null, "quoted_tweet": null, "retweeted_tweet": null, "isConversationControlled": false, "searchTermIndex": 0}'}
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