Automatic Detection of Cyberbullying to Make Internet a Safer Environment

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Author(s): Ana Kovacevic (University of Belgrade, Serbia)and Dragana Nikolic (University of Belgrade, Serbia)
Copyright: 2015
Pages: 14
Source title: Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal)and Irene Maria Portela (Polytechnic Institute of Cávado and Ave, Portugal)
DOI: 10.4018/978-1-4666-6324-4.ch018

Keywords: Criminal Science and Forensics / Digital Crime & Forensics / Information Science Reference / Security & Forensics

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Abstract

The 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.

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Automatic Detection of Cyberbullying to Make Internet a Safer Environment

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