Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey

Norah Alsunaidi, Sara Aljbali, Yasmin Yasin, Hamoud Aljamaan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Cyberbullying (CB) is a global dilemma that is growing rapidly to affect more individuals including minors. The devastating consequences of CB indicate a pressing necessity to regulate unethical or illegal users' online behaviors. A remarkable number of researchers attempted to harness the potential of machine learning to detect and prevent such harmful behaviors, however, the existing studies targeting Arabic-based content are still emerging. Therefore, this paper provides a comprehensive review of the published empirical studies in CB detection in Arabic-based content with an emphasis on the adapted methodologies, gaps, and challenges. We hope this work would support researchers in the area of CB-detection to foster a safe online environment and protect against any harmful consequences of CB among users.

Original languageEnglish
Title of host publicationProceedings of EASE 2023 - Evaluation and Assessment in Software Engineering
PublisherAssociation for Computing Machinery
Pages499-504
Number of pages6
ISBN (Electronic)9798400700446
DOIs
StatePublished - 14 Jun 2023
Event27th International Conference on Evaluation and Assessment in Software Engineering, EASE 2023 - Oulu, Finland
Duration: 14 Jun 202316 Jun 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference27th International Conference on Evaluation and Assessment in Software Engineering, EASE 2023
Country/TerritoryFinland
CityOulu
Period14/06/2316/06/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

  • Arabic Cyberbullying
  • Classification
  • Cyberbullying Detection
  • Machine Learning

ASJC Scopus subject areas

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

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