Cyberbullying detection using parent-child relationship between comments

Ziyi Li, Junpei Kawamoto, Yaokai Feng, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings
EditorsMaria Indrawan-Santiago, Gabriele Anderst-Kotsis, Matthias Steinbauer, Ismail Khalil
PublisherAssociation for Computing Machinery
Pages325-334
Number of pages10
ISBN (Electronic)9781450348072
DOIs
Publication statusPublished - Nov 28 2016
Event18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Singapore, Singapore
Duration: Nov 28 2016Nov 30 2016

Publication series

NameACM International Conference Proceeding Series

Other

Other18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016
CountrySingapore
CitySingapore
Period11/28/1611/30/16

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All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Li, Z., Kawamoto, J., Feng, Y., & Sakurai, K. (2016). Cyberbullying detection using parent-child relationship between comments. In M. Indrawan-Santiago, G. Anderst-Kotsis, M. Steinbauer, & I. Khalil (Eds.), 18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings (pp. 325-334). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3011141.3011182