Affiliation:
1. University of Waterloo, Waterloo, Ontario, Canada
Abstract
The issue of cyberbullying is a social concern that has arisen due to the prevalent use of computer technology today. In this paper, we present a multi-faceted solution to mitigate the effects of cyberbullying, one that uses computer technology in order to combat the problem. We propose to provide assistance for various groups affected by cyberbullying (the bullied and the bully, both). Our solution was developed through a series of group projects and includes i) technology to detect the occurrence of cyberbullying ii) technology to enable reporting of cyberbullying iii) proposals to integrate third-party assistance when cyberbullying is detected iv) facilities for those with authority to manage online social networks or to take actions against detected bullies. In all, we demonstrate how this important social problem which arises due to computer technology can also leverage computer technology in order to take steps to better cope with the undesirable effects that have arisen.
Publisher
Association for Computing Machinery (ACM)
Reference23 articles.
1. Berstein M.: Prevention not tougher punishment key to ending cyber bullying. http://www.unicef.ca/en/blog/prevention-not-tougher-punishment-key-to-ending-cyber-bullying (2013) Berstein M.: Prevention not tougher punishment key to ending cyber bullying. http://www.unicef.ca/en/blog/prevention-not-tougher-punishment-key-to-ending-cyber-bullying (2013)
2. A survey of learning-based techniques of email spam filtering
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