Cyberbullying detection using parent-child relationship between comments

Ziyi Li, Junpei Kawamoto, Yaokai Feng, Kouichi Sakurai

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

6 被引用数 (Scopus)

抄録

Cyberbullying is a underlying problem in social networking service, threatening users' mental and physical health. Previous research on automated cyberbullying detection is mostly textual or social based methods. Cyberbullying content is identified through a set of textual features within the content in the former method and through social information surrounding the content in the latter method. Those methods can not cater difierent cyberbullying standard for individual SNS user since each content is evaluated using same features. Therefore, in this article we propose a automated cyberbullying detection method that utilises the parent-child relationship between comments to capture the reaction from a third party to detect cyberbullying comments. We were able to improve the effectiveness of cyberbullyingdetection using only publicly available data.

本文言語英語
ホスト出版物のタイトル18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings
編集者Maria Indrawan-Santiago, Gabriele Anderst-Kotsis, Matthias Steinbauer, Ismail Khalil
出版社Association for Computing Machinery
ページ325-334
ページ数10
ISBN(電子版)9781450348072
DOI
出版ステータス出版済み - 11 28 2016
イベント18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Singapore, シンガポール
継続期間: 11 28 201611 30 2016

出版物シリーズ

名前ACM International Conference Proceeding Series

その他

その他18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016
国/地域シンガポール
CitySingapore
Period11/28/1611/30/16

All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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