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dc.creatorKovačević, Ana
dc.creatorNikolić, D.
dc.date.accessioned2020-01-08T16:49:12Z
dc.date.available2020-01-08T16:49:12Z
dc.date.issued2014
dc.identifier.urihttp://rhinosec.fb.bg.ac.rs/handle/123456789/239
dc.description.abstractThe Internet has become an inevitable form of communication, which enables connections with colleagues, friends, or people with similar interests, regardless of physical barriers. However, there is also a dark side to the Internet, since an alarming number of adolescents admit they have been victims or bystanders of cyberbullying. In order to make the Internet a safer environment, it is necessary to develop novel methods and software capable of preventing and managing cyberbullying. This chapter reviews existing research in dealing with this phenomenon and discusses current and potential applications of text mining techniques for the detection of cyberbullying.en
dc.publisherIGI Global
dc.rightsrestrictedAccess
dc.sourceHandbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
dc.titleAutomatic detection of cyberbullying to make internet a safer environmenten
dc.typebookPart
dc.rights.licenseARR
dcterms.abstractКовачевић, Aна; Николић, Д.;
dc.citation.spage277
dc.citation.epage290
dc.citation.other: 277-290
dc.identifier.doi10.4018/978-1-4666-6324-4.ch018
dc.identifier.scopus2-s2.0-84945348189
dc.identifier.rcubconv_525
dc.type.versionpublishedVersion


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