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 language | English |
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Title of host publication | ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
Editors | Martin Ester, Guandong Xu, Xindong Wu, Xindong Wu |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 244-252 |
Number of pages | 9 |
ISBN (Electronic) | 9781479958771, 9781479958764 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China Duration: 17 Aug 2014 → 20 Aug 2014 |
Publication series
Name | ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
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Other
Other | 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 |
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Country/Territory | China |
City | Beijing |
Period | 17/08/14 → 20/08/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.