BullyBlocker: An app to identify cyberbullying in facebook

Yasin Silva, Christopher Rich, Jaime Chon, Lisa M. Tsosie

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

1 Citation (Scopus)

Abstract

Cyberbullying is the most common online risk for adolescents, and it has been reported that over half of young people do not tell their parents when it occurs. Cyberbullying involves the deliberate use of online digital media to communicate false or embarrassing information about another person. While previous work has extensively analyzed the nature and prevalence of cyberbullying, there has been significantly less work in the area of automated identification of cyberbullying, particularly in social networking sites. The focus of our work is to develop a computational model to identify and measure the intensity of cyberbullying in social networking sites. In this paper, we present and demonstrate BullyBlocker, an app that identifies instances of cyberbullying in Facebook and notifies parents when it occurs. This paper presents the most relevant characteristics of our initial cyberbullying identification model, key app design and implementation details, the demonstration scenarios, and several areas of future work to improve upon the initial model.

Original languageEnglish (US)
Title of host publicationProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1401-1405
Number of pages5
ISBN (Electronic)9781509028467
DOIs
StatePublished - Nov 21 2016
Event2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 - San Francisco, United States
Duration: Aug 18 2016Aug 21 2016

Other

Other2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
CountryUnited States
CitySan Francisco
Period8/18/168/21/16

Fingerprint

facebook
Application programs
networking
parents
Digital storage
digital media
Identification (control systems)
Demonstrations
scenario
adolescent
human being

Keywords

  • automated identification
  • cyberbullying
  • Facebook
  • social networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Sociology and Political Science
  • Communication

Cite this

Silva, Y., Rich, C., Chon, J., & Tsosie, L. M. (2016). BullyBlocker: An app to identify cyberbullying in facebook. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 (pp. 1401-1405). [7752430] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2016.7752430

BullyBlocker : An app to identify cyberbullying in facebook. / Silva, Yasin; Rich, Christopher; Chon, Jaime; Tsosie, Lisa M.

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1401-1405 7752430.

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

Silva, Y, Rich, C, Chon, J & Tsosie, LM 2016, BullyBlocker: An app to identify cyberbullying in facebook. in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016., 7752430, Institute of Electrical and Electronics Engineers Inc., pp. 1401-1405, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, United States, 8/18/16. https://doi.org/10.1109/ASONAM.2016.7752430
Silva Y, Rich C, Chon J, Tsosie LM. BullyBlocker: An app to identify cyberbullying in facebook. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1401-1405. 7752430 https://doi.org/10.1109/ASONAM.2016.7752430
Silva, Yasin ; Rich, Christopher ; Chon, Jaime ; Tsosie, Lisa M. / BullyBlocker : An app to identify cyberbullying in facebook. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1401-1405
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