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23141 Improving cyberbullying detection with user context
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Dadvar, M. and Trieschnigg, R.B. and Ordelman, R.J.F. and de Jong, F.M.G. (2013) Improving cyberbullying detection with user context. In: Proceedings of the 35th European Conference on IR Research, ECIR 2013, 24-27 Mar 2013, Moscow, Russia. pp. 693-696. Lecture Notes in Computer Science 7814. Springer Verlag. ISSN 0302-9743 ISBN 978-3-642-36972-8

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The negative consequences of cyberbullying are becoming more alarming every day and technical solutions that allow for taking appropriate action by means of automated detection are still very limited. Up until now, studies on cyberbullying detection have focused on individual comments only, disregarding context such as users’ characteristics and profile information. In this paper we show that taking user context into account improves the detection of cyberbullying.

Item Type:Conference or Workshop Paper (Full Paper, Poster)
Research Group:EWI-HMI: Human Media Interaction, EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:Puppy-IR: An Open Source Environment to construct Information Services for Children, FACT: Folktales As Classifiable Texts
Uncontrolled Keywords:sentiment analysis, Cyberbullying detection, Harassment detection,
ID Code:23141
Deposited On:16 April 2013
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