Cyberbullying detection on social network services

Pei Ju Lee, Ya Han Hu, Kuanchin Chen, J. Michael Tarn, Lien En Chen

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

4 Scopus citations

Abstract

Social networks such as Facebook or Twitter promote the communication between people but they also lead to some excessive uses on the Internet such as cyberbullying for malicious users. In addition, the accessibility of the social network also allows cyberbullying to occur at anytime and evoke more harm from other users' dissemination. This study collects cyberbullying cases in Twitter and attempts to establish an auto-detection model of cyberbullying tweets base on the text, readability, sentiment score, and other user information to predict the tweets with harassment and ridicule cyberbullying tweets. The novelty of this study is using the readability analysis that has not been considered in past studies to reflect the author's education level, age, and social status. Three data mining techniques, k-nearest neighbors, support vector machine, and decision tree are used in this study to detect the cyberbullying tweets and select the best performance model for cyberbullying prediction.

Original languageEnglish
Title of host publicationProceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society
Subtitle of host publicationAre We Ready?, PACIS 2018
EditorsMotonari Tanabu, Dai Senoo
PublisherAssociation for Information Systems
ISBN (Electronic)9784902590838
StatePublished - 2018
Event22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018 - Yokohama, Japan
Duration: 26 Jun 201830 Jun 2018

Publication series

NameProceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018

Conference

Conference22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018
Country/TerritoryJapan
CityYokohama
Period26/06/1830/06/18

Keywords

  • Classification
  • Cyberbullying
  • Data mining
  • Readability
  • Twitter

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