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This dataset contains social media posts from otome game communities,
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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 Weiboreddit.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:
@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}
}
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