Improving Cyberbullying Detection with User Context

  • Maral Dadvar
  • Dolf Trieschnigg
  • Roeland Ordelman
  • Franciska de Jong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7814)


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.


Sentiment Analysis Person Pronoun User Context Profile Information Offensive User 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Maral Dadvar
    • 1
  • Dolf Trieschnigg
    • 2
  • Roeland Ordelman
    • 1
  • Franciska de Jong
    • 1
  1. 1.Human Media Interaction GroupUniversity of TwenteNetherlands
  2. 2.Database GroupUniversity of TwenteNetherlands

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