Automatically Detecting Cyberbullying Comments on Online Game Forums
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Abstract (arXiv)
Online game forums are popular to most of game players. They use it to communicate and discuss the strategy of the game, or even to make friends. However, game forums also contain abusive and harassment speech, disturbing and threatening players. Therefore, it is necessary to automatically detect and remove cyberbullying comments to keep the game forum clean and friendly. We use the Cyberbullying dataset collected from World of Warcraft (WoW) and League of Legends (LoL) forums and train classification models to automatically detect whether a comment of a player is abusive or not. The result obtains 82.69% of macro F1-score for LoL forum and 83.86% of macro F1-score for WoW forum by the Toxic-BERT model on the Cyberbullying dataset.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 3 Jun 2021.
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10 of 21 references.
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Citing papers per year: 2026: 1.
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