Improving cyberbullying detection with user context

M. Dadvar, Rudolf Berend Trieschnigg, Roeland J.F. Ordelman, Franciska M.G. de Jong

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

247 Citations (Scopus)
314 Downloads (Pure)


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.
Original languageUndefined
Title of host publicationProceedings of the 35th European Conference on IR Research, ECIR 2013
Place of PublicationBerlin
Number of pages4
ISBN (Print)978-3-642-36972-8
Publication statusPublished - Mar 2013
Event35th European Conference on Information Retrieval, ECIR 2013: (IR Resarch) - Moscow, Russian Federation
Duration: 24 Mar 201327 Mar 2013
Conference number: 35

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference35th European Conference on Information Retrieval, ECIR 2013
Abbreviated titleECIR
Country/TerritoryRussian Federation


  • EWI-23141
  • METIS-296338
  • Cyberbullying Detection
  • Harassment Detection
  • IR-85503
  • Sentiment Analysis

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