| --- |
| pretty_name: OtomeSCAN |
| license: cc-by-nc-4.0 |
| language: |
| - zh |
| - en |
| task_categories: |
| - text-classification |
| size_categories: |
| - 1K<n<10K |
| extra_gated_heading: Researcher Access Agreement |
| extra_gated_description: Access requests are typically reviewed within 1–3 days. |
| extra_gated_button_content: Acknowledge and request access |
| extra_gated_prompt: | |
| This dataset contains social media posts from otome game communities, |
| including potentially offensive content. By requesting access, you agree |
| to use the dataset solely for academic purposes and not to attempt to |
| re-identify users represented in the dataset. |
| extra_gated_fields: |
| Full Name: text |
| Organization: text |
| Organization Email: text |
| Intended Use: |
| type: select |
| options: |
| - Research |
| - Education |
| - label: Other |
| value: other |
| I will not attempt to re-identify users represented in the dataset: checkbox |
| tags: |
| - toxicity |
| - otome-games |
| configs: |
| - config_name: weibo |
| data_files: weibo.csv |
| - config_name: reddit |
| data_files: reddit.csv |
| --- |
| |
| # OtomeSCAN |
|
|
| Human-annotated posts from otome-game communities, labelled for toxicity and for who the |
| toxicity targets. From the paper *“Shut Up and Let Me Enjoy My Otome”: Understanding and |
| Measuring the Toxicity in Otome Game Communities*, CCS 2026. |
|
|
| - `weibo.csv` — Chinese posts from Weibo |
| - `reddit.csv` — English posts from Reddit |
|
|
| ## Columns |
|
|
| `weibo.csv` |
|
|
| | Column | Meaning | |
| | --- | --- | |
| | `community` | Community the post comes from: `LoveAndDeepspace`, `MrLove`, `TearsOfThemis`, `Genshin_Impact`, `otomegames`, `Games` | |
| | `content` | Full text of the post, verbatim | |
| | `Toxicity` | `0` = non-toxic, `1` = toxic | |
| | `Target_Type` | Who the toxicity targets, `A`–`H` (below); empty when `Toxicity = 0` | |
|
|
| `reddit.csv` |
|
|
| | Column | Meaning | |
| | --- | --- | |
| | `community` | Subreddit the post comes from, without the `r/` prefix; same six names as above | |
| | `title` | Submission title | |
| | `selftext` | Submission body; empty for link/image posts | |
| | `content` | `title` and `selftext` joined by a newline — the text that was annotated, and the counterpart of Weibo's `content` | |
| | `Toxicity` | `0` = non-toxic, `1` = toxic | |
| | `Target_Type` | Who the toxicity targets, `A`–`H` (below); empty when `Toxicity = 0` | |
|
|
| ## Target_Type |
| |
| | | | | | |
| | --- | --- | --- | --- | |
| | `A` players | `B` NPCs | `C` game developers | `D` platform moderators | |
| | `E` policymakers | `F` identity groups | `G` other game-related entities | `H` unknown | |
| |
| ## Related release |
| |
| Model-generated toxicity labels for all posts analysed in the paper are |
| released on Zenodo: https://doi.org/10.5281/zenodo.22817364. |
| |
| ## Citation |
| |
| If you find this useful in your research, please consider citing: |
| |
| ```bibtex |
| @inproceedings{ZSJBZ26, |
| author = {Yage Zhang and Xinyue Shen and Yukun Jiang and Michael Backes and Yang Zhang}, |
| title = {{``Shut Up and Let Me Enjoy My Otome'': Understanding and Measuring the Toxicity in Otome Game Communities}}, |
| booktitle = {{ACM SIGSAC Conference on Computer and Communications Security (CCS)}}, |
| publisher = {ACM}, |
| year = {2026} |
| } |
| ``` |
| |
