Towards understanding cyberbullying behavior in a semi-anonymous social network

Homa Hosseinmardi, Richard Han, Qin Lv, Shivakant Mishra, Amir Ghasemianlangroodi

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

45 Citations (Scopus)

Abstract

Cyberbullying has emerged as an important and growing social problem, wherein people use online social networks and mobile phones to bully victims with offensive text, images, audio and video on a 24/7 basis. This paper studies negative user behavior in the Ask.fm social network, a popular new site that has led to many cases of cyberbullying, some leading to suicidal behavior.We examine the occurrence of negative words in Ask.fm's question+answer profiles along with the social network of 'likes' of questions+answers. We also examine properties of users with 'cutting' behavior in this social network.

Original languageEnglish
Title of host publicationASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
EditorsMartin Ester, Guandong Xu, Xindong Wu, Xindong Wu
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages244-252
Number of pages9
ISBN (Electronic)9781479958771, 9781479958764
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China
Duration: 17 Aug 201420 Aug 2014

Publication series

NameASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Other

Other2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
CountryChina
CityBeijing
Period17/08/1420/08/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

Fingerprint Dive into the research topics of 'Towards understanding cyberbullying behavior in a semi-anonymous social network'. Together they form a unique fingerprint.

Cite this