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2013 | OriginalPaper | Buchkapitel

Improving Cyberbullying Detection with User Context

verfasst von : Maral Dadvar, Dolf Trieschnigg, Roeland Ordelman, Franciska de Jong

Erschienen in: Advances in Information Retrieval

Verlag: Springer Berlin Heidelberg

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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.

Metadaten
Titel
Improving Cyberbullying Detection with User Context
verfasst von
Maral Dadvar
Dolf Trieschnigg
Roeland Ordelman
Franciska de Jong
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-36973-5_62