Original title: "Shut Up and Let Me Enjoy My Otome": Understanding and Measuring the Toxicity in Otome Game Communities
Yage Zhang, Xinyue Shen, Yukun Jiang, Michael Backes +1 · September 2026
Otome games are romance simulation games made mostly for women, but their online fan communities suffer from widespread toxicity that researchers have rarely studied. To explore this, scientists created a tool called OtomeSCAN. It gathers online messages and uses computer programs trained to spot abusive language, testing them against thousands of human-checked posts. The system identifies toxic comments and tracks who people attack, like other gamers or the people who make the games. The team found huge differences between websites. More than one in five posts on Weibo were toxic, while Reddit had far less hate. Toxic spikes also happen fast. When outside groups attacked players on Weibo, toxic posts jumped up sharply within 72 hours. Finally, the researchers spotted groups of users who seemed to work together to spread hate, mostly directing their coordinated attacks at game developers.
Imagine you are a hall monitor in a school. You check two hallways: in one, 22% of conversations are mean, in the other, only 4%. When a big fight happens, meanness spikes to 37% in three days, and some students coordinate to target the same person. In this paper, the school corresponds to the online communities studied, the two hallways correspond to the two social media platforms analyzed, the big fight corresponds to a real-world event that triggers toxicity, and the targeted person corresponds to game developers.
Otome games attract hundreds of millions of players, mostly women, yet their communities face unchecked toxicity. This work shows that on Weibo, over one in five posts is toxic, and coordinated attacks can triple toxicity in three days. Understanding these patterns helps platform moderators and developers protect players from targeted harassment.
The abstract doesn't say. It presents the first large-scale measurement on two platforms (Weibo and Reddit) and notes that the coordination clusters are potential, but does not discuss limitations of the approach or generalizability.
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"Shut Up and Let Me Enjoy My Otome": Understanding and Measuring the Toxicity in Otome Game Communities — Yage Zhang, Xinyue Shen, Yukun Jiang et al.
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.