BullyAlert: a mobile application for adaptive cyberbullying detection

Rahat Ibn Rafiq*, Richard Han, Qin Lv, Shivakant Mishra

*Corresponding author for this work

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


Due to the prevalence and severe consequences of cyberbullying, numerous research works have focused on mining and analyzing social network data to understand cyberbullying behavior and then using the gathered insights to develop accurate classifiers to detect cyberbullying. Some recent works have been proposed to leverage the detection classifiers in a centralized cyberbullying detection system and send notifications to the concerned authority whenever a person is perceived to be victimized. However, two concerns limit the effectiveness of a centralized cyberbullying detection system. First, a centralized detection system gives a uniform severity level of alerts to everyone, even though individual guardians might have different tolerance levels when it comes to what constitutes cyberbullying. Second, the volume of data being generated by old and new social media makes it computationally prohibitive for a centralized cyberbullying detection system to be a viable solution. In this work, we propose BullyAlert, an android mobile application for guardians that allows the computations to be delegated to the hand-held devices. In addition to that, we incorporate an adaptive classification mechanism to accommodate the dynamic tolerance level of guardians when receiving cyberbullying alerts. Finally, we include a preliminary user analysis of guardians and monitored users using the data collected from BullyAlert usage.
Original languageEnglish
Title of host publicationMobile Computing, Applications, and Services
Subtitle of host publication11th EAI International Conference, MobiCASE 2020 Shanghai, China, September 12, 2020 Proceedings
EditorsJing Liu, Honghao Gao, Yuyu Yin, Zhongqin Bi
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages13
ISBN (Electronic)9783030642143
ISBN (Print)9783030642136
Publication statusPublished - 2020
Externally publishedYes
Event11th EAI International Conference on Mobile Computing, Applications and Services, MobiCASE 2020 - Virtual, Shanghai, China
Duration: 12 Sept 202012 Sept 2020

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X


Conference11th EAI International Conference on Mobile Computing, Applications and Services, MobiCASE 2020


  • Cyberbullying
  • mobile application
  • Detection
  • Mobile application


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