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Social Interactions and Automated Detection Tools in Cyberbullying
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Author(s): Michael J. Moore (Osaka University, Japan), Tadashi Nakano (Osaka University, Japan), Tatsuya Suda (The University Netgroup Inc., USA)and Akihiro Enomoto (University of California, USA)
Copyright: 2013
Pages: 21
Source title:
Social Network Engineering for Secure Web Data and Services
Source Author(s)/Editor(s): Luca Caviglione (Institute of Intelligent Systems for Automation (ISSIA), Italy), Mauro Coccoli (University of Genoa, Italy)and Alessio Merlo (University of Genoa & Università Telematica e-campus, Italy)
DOI: 10.4018/978-1-4666-3926-3.ch004
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Abstract
Face-to-Face bullying is a traditional form of bullying in which bullies attack victims through physical, verbal, or social attacks. Cyberbullying is a new form of bullying. Cyberbullies abuse digital media to attack victims (such as attacks through websites, social networking services, blogging, e-mail, instant messaging, chat rooms, and cell phones). Cyberbullying and face-to-face bullying share many similarities. For example, bullies achieve power over a victim in both cyberbullying and face-to-face bullying. On the other hand, cyberbullying has differences from face-to-face bullying that arise from characteristics of digital media such as anonymity and rapid spreading of attacks. This chapter highlights key concerns of cyberbullying stemming from the use of digital media and discusses existing models of face-to-face bullying which may aid in model cyberbullying. This chapter then introduces state-of-the-art research in automated tools to detect cyberbullying. Finally, this chapter concludes with future perspective of research in automated tools to detect cyberbullying.
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