Automatically Detecting Cyberbullying Comments on Online Game Forums

Autor:	Vo, Hanh Hong-Phuc, Tran, Hieu Trung, Luu, Son T.
Rok vydání:	2021
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
DOI:	10.1109/RIVF51545.2021.9642116
Popis:	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. Comment: Published in the 2021 RIVF International Conference on Computing and Communication Technologies (RIVF)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2106.01598 Zobrazit plný text záznamu View this record from Arxiv