Cyberbullying Detection; A Step Toward a Safer Internet Yard

M. Dadvar, Franciska M.G. de Jong

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    75 Citations (Scopus)
    37 Downloads (Pure)


    As a result of the invention of social networks friendships, relationships and social communications have all gone to a new level with new definitions. One may have hundreds of friends without even seeing their faces. Meanwhile, alongside this transition there is increasing evidence that online social applications have been used by children and adolescents for bullying. State-of-the-art studies in cyberbullying detection have mainly focused on the content of the conversations while largely ignoring the users involved in cyberbullying. We propose that incorporation of the users’ information, their characteristics, and post-harassing behaviour, for instance, posting a new status in another social network as a reaction to their bullying experience, will improve the accuracy of cyberbullying detection. Cross-system analyses of the users’ behaviour - monitoring their reactions in different online environments - can facilitate this process and provide information that could lead to more accurate detection of cyberbullying.
    Original languageUndefined
    Title of host publicationProceedings of the 21st International World Wide Web Conference, WWW 2012 - PhD-Symposium
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Number of pages5
    ISBN (Print)978-1-4503-1323-0
    Publication statusPublished - 16 Apr 2012
    Event21st International World Wide Web Conference, WWW 2012 - Lyon, France
    Duration: 16 Apr 201220 Apr 2012
    Conference number: 21

    Publication series



    Conference21st International World Wide Web Conference, WWW 2012
    Abbreviated titleWWW


    • METIS-286318
    • Cross-system analysis
    • Cyberbullying Detection
    • Cyberharassment
    • IR-80256
    • Social Network
    • Sentiment Analysis
    • User Profile
    • EC Grant Agreement nr.: FP7/231507
    • EWI-21758
    • Bullying

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