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Investigation into the Automated Detection of Image Based Cyber Bullying on Social Media Platforms

Lightbody, Gaye, Bond, Raymond, Mulvenna, Maurice, Bi, Yaxin and Mulligan, Macartan (2014) Investigation into the Automated Detection of Image Based Cyber Bullying on Social Media Platforms. In: 2014 Irish Machine Vision and Image processing conference, Derry-Londonderry Northern Ireland. IPRCS. 2 pp. [Conference contribution]

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URL: https://www.scss.tcd.ie/disciplines/statistics/IPRCS/pdf/IMVIP2014_Proceedings.pdf


Access to the Web 2.0 technologies and social networking has become a ubiquitous factor of our lifestyles. Mobile devices, smart phones and other such technologies create a permanent link between the person and their presence on the Internet. Reporting daily activities, feelings, opinions and emotions have become common place, particularly with teenagers and young adults. Circles of friendships can expand rapidly without careful consideration to what is being shared and to whom. Such an environment has become an avenue for cyber bullying, enabling persecutors to breach the safety of the home environment to reach their victims. In order for social networking to be a safe technology in the lives of adolescents and vulnerable adults, measures need to be put in place to monitor and detect potentially threatening online activity. In this paper an overview is given of the possible techniques that could be employed in the detection of negative online interactions. The combination of sentiment analysis with image processing techniques is considered as a suitable platform from which to categorize the textual and visual connotations of the content. This is illustrated as a flow diagram illustrating the key processes envisaged for the detection of potential cyber bullying threats.

Item Type:Conference contribution (Poster)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:30362
Deposited By: Dr Raymond Bond
Deposited On:09 Oct 2014 13:34
Last Modified:09 Oct 2014 13:34

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