| --- |
| pretty_name: DisImpact |
| tags: |
| - disaster |
| - social-media |
| - hurricane |
| - wildfire |
| - reddit |
| - tiktok |
| - youtube |
| - disaster-impact |
| size_categories: |
| - 10K<n<100K |
| license: cc-by-4.0 |
| language: |
| - en |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: label |
| dtype: int64 |
| --- |
| |
| # DisImpact: Disaster Physi-Social Impact Classification |
|
|
| ## Dataset Description |
|
|
| Dataset of the paper "[DisImpact: Quantifying the Physi-Social Impact of Natural Disasters Through Social Media |
| ](https://arxiv.org/pdf/2605.20646v1)". This dataset contains post IDs and disaster impact labels for **hurricane** and **wildfire** across three platforms: **Reddit**, **TikTok**, and **YouTube**. |
|
|
| ## Data Format |
|
|
| Each disaster–platform subset is stored in a CSV file named `<disaster>_<platform>_social.csv`, with two columns: |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `id` | string | id of the post. | |
| | `label` | integer | Disaster impact category, numbered from 1 to 11. | |
|
|
| **Always read `id` as a string.** Numeric conversion can alter identifiers, especially long TikTok IDs. CSV files do not preserve column types. |
|
|
| ## Label Definitions |
|
|
| Labels 1–10 follow the category order in [Table 3 of the paper](https://arxiv.org/html/2605.20646v1#S3.T3). Descriptions below are abbreviated. |
|
|
| | Label | Domain | Category | Description | |
| |---|---|---|---| |
| | 1 | Physical | Casualties & Injuries (CINJ) | Deaths, injuries, missing people or animals, and immediate medical emergencies. | |
| | 2 | Physical | Evacuations & Displacement (EVAC) | Forced evacuation, displacement, or relocation to shelters. | |
| | 3 | Physical | Infrastructure & Utility Damage (INFR) | Damaged infrastructure or disrupted utilities. | |
| | 4 | Physical | Environmental Damage (ENVD) | Ecosystem damage, agricultural losses, or environmental contamination. | |
| | 5 | Physical | Resource Shortages (RSRC) | Requests for essential survival supplies. | |
| | 6 | Social | Public Health (PUBH) | Disease outbreaks, interrupted healthcare, or medical supply shortages. | |
| | 7 | Social | Emotional & Psychological Distress (EMOT) | Disaster-related trauma, anxiety, grief, or other emotional suffering. | |
| | 8 | Social | Bias Narratives (BIAS) | Discrimination, political blame, or unequal impacts across groups. | |
| | 9 | Social | Assistance & Recovery (ASST) | Aid, rebuilding, community support, and adaptation. | |
| | 10 | Social | Socioeconomic Disruption (SECO) | Disruption to livelihoods, housing, education, or economic activity. | |
| | 11 | Other | None of the Above (OTHER) | None of categories 1–10 applies. | |
|
|
| Label 11 does not necessarily mean that a post is unrelated to the disaster. |
|
|
| ## Privacy and Content Access |
|
|
| To protect user privacy, only post IDs are released. We recommend retrieving the full post content via the official APIs of each platform, in accordance with their respective terms of service. |
|
|
| - [Reddit API](https://www.reddit.com/dev/api) |
| - [TikTok API](https://developers.tiktok.com/products/research-api) |
| - [YouTube API](https://developers.google.com/youtube/v3) |
|
|
| The released CSV files contain post IDs and classification labels; they do not include post text, images, videos, or user profiles. Content availability may change if posts are deleted, made private, or otherwise become inaccessible. |
|
|
| ## Limitations |
|
|
| Labels are model-generated annotations and may contain errors. Each post receives a single category, even when it describes multiple impacts. Social media observations should not be interpreted as a representative measure of all affected populations or as verified disaster incident reports. |
|
|
| ## Citation |
|
|
| @inproceedings{yao2026disimpact, |
| title={DisImpact: Quantifying the Physi-Social Impact of Natural Disasters Through Social Media}, |
| author={Yao, Ruichen and Dasari, Tejna and Meng, Xuanyu and Cao, Elliot and Li, Zelin and Liu, Yifan and Liu, Yaokun and Shang, Lanyu and Wang, Dong}, |
| booktitle={Proceedings of the International AAAI Conference on Web and Social Media}, |
| volume={20}, |
| number={1}, |
| pages={2607--2622}, |
| year={2026} |
| } |
| |
| Dataset DOI: [10.57967/hf/10879](https://doi.org/10.57967/hf/10879) |
