Temporal Properties of Cyberbullying on Instagram

Aabhaas Gupta, Wenxi Yang, Divya Sivakumar, Yasin Silva, Deborah Hall, Maria Nardini Barioni

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

6 Scopus citations


Concurrent with the growth and widespread use of social networking platforms has been a rise in the prevalence of cyberbullying and cyberharassment, particularly among youth. Although cyberbullying is frequently defined as hostile communication or interactions that occur repetitively via electronic media, little is known about the temporal aspects of cyberbullying on social media, such as how the number, frequency, and timing of posts may vary systematically between cyberbullying and non-cyberbullying social media sessions. In this paper, we aim to contribute to the understanding of temporal properties of cyberbullying through the analysis of Instagram data. That is, the paper presents key temporal characteristics of cyberbullying and trends obtained from descriptive and burst analysis tasks. Our results have the potential to inform the development of more effective cyberbullying detection models.

Original languageEnglish (US)
Title of host publicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Electronic)9781450370240
StatePublished - Apr 20 2020
Event29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China
Duration: Apr 20 2020Apr 24 2020

Publication series

NameThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020


Conference29th International World Wide Web Conference, WWW 2020
Country/TerritoryTaiwan, Province of China


  • Instagram
  • burst analysis
  • cyberbullying
  • social media
  • temporal properties

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software


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