自动检测网络游戏论坛上的网络欺凌评论

2021 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2021-06-03 DOI:10.1109/RIVF51545.2021.9642116

Hanh Hong-Phuc Vo, H. Tran, Son T. Luu

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引用次数: 4

摘要

网络游戏论坛深受广大游戏玩家的欢迎。他们用它来交流和讨论游戏策略，甚至是交朋友。然而，游戏论坛也包含辱骂和骚扰言论，扰乱和威胁玩家。因此，有必要自动检测和删除网络欺凌评论，以保持游戏论坛的清洁和友好。我们使用从魔兽世界(WoW)和英雄联盟(LoL)论坛收集的网络欺凌数据集和训练分类模型来自动检测玩家的评论是否辱骂。结果在网络欺凌数据集上使用Toxic-BERT模型得到LoL论坛的宏观f1得分为82.69%，WoW论坛的宏观f1得分为83.86%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatically Detecting Cyberbullying Comments on Online Game Forums

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.

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来源期刊

2021 RIVF International Conference on Computing and Communication Technologies (RIVF)

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