Detection of cyberbullying in a mobile social network: systems issues

Homa Hosseinmardi, Sabrina Arredondo Mattson, Rahat Ibn Rafiq, Richard Han, Qin Lv, Shivakant Mishra

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

2 Citations (Scopus)

Abstract

Cyberbullying is a major problem a ecting more than half of all American teens, and has been attributed to suicidal behavior among teens. Instagram, a media-based mobile social network, is one of the most popular social networks used for cyberbullying. In this paper, we describe the development of classiers to detect cyberbullying in Instagram. We identify systems issues that need to be considered in the design of a cyberbullying detection system.

Original languageEnglish
Title of host publicationMobiSys 2015 - Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery, Inc
Pages481
Number of pages1
ISBN (Electronic)9781450334945
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event13th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2015 - Florence, Italy
Duration: 18 May 201522 May 2015

Publication series

NameMobiSys 2015 - Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services

Conference

Conference13th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2015
CountryItaly
CityFlorence
Period18/05/1522/05/15

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