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README.md
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<!-- Provide a quick summary of the dataset. -->
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The Reddit Online Dating Dataset (
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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### Direct Use
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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In order to study online dating fatigue and
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### Language Variety
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### Text Characteristics
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Each submission includes a non-empty title and a non-empty text body. Overall text length varies with a mean and standard deviation of 1300 characters per submission. 1300 characters roughly translate to 200-260 words in English texts.
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### Provenance Appendix
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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TBA
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<!-- Provide a quick summary of the dataset. -->
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The Reddit Online Dating Dataset (RODD) is a collection of 219000 English text-based Reddit submissions related to online dating.
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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RODD was created to study gender and age-based differences in experiences of online dating fatigue and online dating etiquette as part of my master's thesis @TUM:
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"Online Dating Etiquette: An NLP-based Approach to Online Dating Discourses on Reddit"
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We leveraged NLP-based methods to analyze the submissions both quantitatively and qualitatively, uncovering significant demographic differences in fatigue experiences.
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The Reddit submissions in this dataset are related to online dating. Further, we show that a large number of submissions show signs of dating fatigue. Thus, the overall tone of the dataset is negative.
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Online daters discuss topics related to online dating and share their negative experiences, give and receive advice, and seek support and orientation online. Many submission authors provide their opinion on existing behavioral rules in online dating.
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- **Curated by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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RODD was created as part of a study @TUM on online dating fatigue and online dating etiquette:
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"Online Dating Etiquette: An NLP-based Approach to Online Dating Discourses on Reddit"
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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The dataset can be used for several NLP related tasks, incl. classification and RAG.
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"link_flair_text" are human gold labels provided by the submission authors on creation, when the subreddit enforces the topical categorization of new submissions.
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Sentiment analysis with SiEBERT shows that models are generally able to detect intricacies in text from our dataset.
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### Direct Use
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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Column - Description - Data type
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author - Account that created the submission. - str
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created - Time of creation. - datetime
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created_utc - UTC timestamp of creation time. - float
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downs - Number of downvotes. - float
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extraction_keywords - The keywords that led to the extraction of the submission. - array[str]
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gilded - Number of gildings. - float
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id - Unique submission identifier. Primary Key. - str
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is_crosspostable - If the submission is crosspostable to other subreddits. - bool
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link_flair_text - Category of the submission. (If categorization is supported.) - str
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num_comments - Number of comments. - int
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num_crossposts - Number of crossposts. - float
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permalink - Internal Reddit permalink. - str
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score - Difference of upvotes and downvotes. - int
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selftext - Text of the submission. - str
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subreddit - Subreddit name. - str
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subreddit_id - Subreddit identifier. - str
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title - Title of the submission - str
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ups - Number of upvotes. - float
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upvote_ratio - Upvotes / Downvotes - float
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url - URL of the submission. - str
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## Dataset Creation
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### Curation Rationale
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In order to study online dating fatigue and etiquette related to online dating, this dataset was created by scraping Reddit submissions using keywords related to online dating. The keyword set was iteratively refined to ensure high precision in selecting relevant submissions while capturing a broad range of discussions within the online dating discourse. Subreddits were hand-selected for scraping based on two criteria: 1) high activity and member count, indicating general popularity. 2) As indicated in community guidelines, A second group of subreddits was selected based on self-reported specific demographic focus.
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### Language Variety
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### Text Characteristics
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Each submission includes a non-empty title and a non-empty text body (selftext). Overall text length varies with a mean and standard deviation of 1300 characters per submission. 1300 characters roughly translate to 200-260 words in English texts.
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### Provenance Appendix
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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The Reddit submissions in this dataset were extracted from pushshift dumps.
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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The submissions of RODD were extracted through a keyword-based filtering approach on all submissions in the following subreddits:
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r/dating_advice
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r/dating
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r/OnlineDating
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r/datingoverthirty
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r/datingoverforty
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r/datingoverfifty
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r/AskMen
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r/AskWomen
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r/TwoXChromosomes
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We used the following keywords to match submission titles and selftext:
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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RODD comprises a large portion of negative Reddit submissions. Self-selection bias leads to a concentration of fatigued online daters from Western societies in \ac{RODD}. Thus, content related to online dating fatigue is more prevalent than in other discourses or demographics. This content is specific to the Reddit online dating discourse.
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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TBA
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