Cognitive Way of Detecting Cyberbullying in Chatbots
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Abstract
- The increase in application of information and communication technology is transforming the society into an unknown ground of the continuous evolving cyber world. We are dealing with cyberbullying which is one of the major issues in the cyber security. This paper focuses on prevention/detection of cyberbullying in online communication venues particularly, in the chat rooms where, even let alone chatbots in huge numbers with anonymous ids can communicate, at times creating havoc on such platforms by doing it with unworthy messages.
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References
Spertus, E. (1997). Smokey: Automatic Recognition of Hostile Messages, In: Proceedings of the Innovative Applications of Artificial Intelligence, 1058–1065. [2] Dinakar, K. (2011). Modeling the Detection of Textual Cyberbullying, in The Social Mobile Web, 11–17. [3] Dadvar, M., Ordelman, R., Jong, F. D. (2012). Trieschnigg. D. Towards User Modelling in the Combat against Cyberbullying, in Natural Language Processing and Information Systems. Springer-Verlag Berlin Heidelberg, 277–283. [4] Yin, D., Xue, Z., Hong, L., Davison, B. D., Kontostathis, A., Ed- wards, L. (2009). Detection of Harassment on Web 2.0, In: Proceedings of the Content Analysis in the WEB 2.0 (CAW2.0) Workshop at WWW2009. [5] Xiang.G., Fan.B.,Wang, L., Hong, J., Rose, C. (2012). Detecting offensive tweets via topical feature discovery over a large scale twitter corpus, In: Proceedings of the 21st ACM International Conference on Information and knowledge management - CIKM ’12. New York, New York, USA: ACM Press, 1980–1984. [6] C. Maple, E. Short, A. Brwon, C. Bryden, and M. Salter. Cyberstalking in the UK: Analysis and Recommendations. International Journal of Distributed Systems and Technologies, 3(4):34-51, 2012. [7] Alok Mishra, Deepti Mishra; Cyber Stalking : A Challenge for Web Security,2008. [8] Rekha Sugandhi, Anurag Pande, Siddhant Chawla, Abhishek Agrawal, Husen Bhagat; Methods for detection of cyberbullying : A survey, In: Intelligent Systems Design and Applications (ISDA), 2015. [9] Paul Bocij, Victims of Cyberstalking: An Exploratory Study of Harassment Perpetrated via the Internet, vol 8, number 10-6, 2003. [10] Agate, J., Ledward, J., 2013. Social media: how the net is closing in on cyber bullies. Entertain. Law Rev. 24 (8), 263-268. [11] Qing Li; Bullying in the new playground: Research into cyberbullying and cyber victimization; In: Australian Journal of Education Technology, 2007, 23(4), 435-454.