Automatically Detecting Cyberbullying Comments on Online Game Forums

被引：3
作者：
Hanh Hong-Phuc Vo [1 ,2 ]
Hieu Trung Tran [1 ,2 ]
Luu, Son T. [1 ,2 ]
机构：
[1] Univ Informat Technol, Ho Chi Minh City, Vietnam
[2] Vietnam Natl Univ Ho Chi Minh City, Ho Chi Minh City, Vietnam
来源：
2021 RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES (RIVF 2021) | 2021年
关键词：
game forums; cyberbullying; machine learning; text classification; deep neural network; bert;
D O I：
10.1109/RIVF51545.2021.9642116
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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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收藏
页码：252 / 256
页数：5
相关论文
共 21 条
[1]  
Aggarwal C. C., 2012, MINING TEXT DATA, DOI 10.1007/978-1-4614-3223-4_6
[2]  
Bassignana E., 2018, P 5 IT C COMP LING C, DOI DOI 10.4000/BOOKS.AACCADEMIA.308
[3]  
Bretschneider U., 2016, Detecting cyberbullying in online communities
[4]   LIBSVM: A Library for Support Vector Machines [J].
Chang, Chih-Chung ;
Lin, Chih-Jen .
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2011, 2 (03)
[5]  
Character-Level V, 2017, COMPUT LINGUIST
[6]   SMOTE: Synthetic minority over-sampling technique [J].
Chawla, Nitesh V. ;
Bowyer, Kevin W. ;
Hall, Lawrence O. ;
Kegelmeyer, W. Philip .
2002, American Association for Artificial Intelligence (16)
[7]  
Cho K, 2014, ARXIV14061078, P1724, DOI DOI 10.3115/V1/D14-1179
[8]  
Chung YL, 2019, 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019), P2819
[9]  
Davidson T., 2017, 11 INT AAAI C WEB SO
[10]  
Devlin J, 2019, 2019 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL HLT 2019), VOL. 1, P4171
123