Do not feel the Trolls

Citation

Cambria E, Chandra P, Sharma A & Hussain A (2010) Do not feel the Trolls. In: Passant A, Breslin J, Fernandez S & Bojars U (eds.) Proceedings of the 3rd International Workshop on Social Data on the Web (SDoW2010): Workshop at the 9th International Semantic Web Conference (ISWC2010) - ISWC 2010 Workshops Volume I: Shanghai, China, November 8, 2010. CEUR-WS.org. SDoW2010 Social Data on the Web: Workshop at the 9th International Semantic Web Conference, Shanghai, China, 08.11.2010-08.11.2010. Aachen, Germany: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-664/paper1.pdf

Abstract
The passage from a read-only to a read-write Web gave peo- ple the possibility to freely interact, share and collaborate through social networks, online communities, blogs, wikis and other online collabora- tive media. The democracy of the Web is what made it so popular in the past decades but such a high degree of freedom of expression also gave birth to negative side eects { the so called `dark side' of the Web. An example of this is trolling i.e. the exploitation of the anonymity of the Web to post inammatory and outrageous messages directed to one speci c person or community to provoke them into a desired emotional response. Online community masters usually warn users against trolls with messages such as DNFTT (Do Not Feed The Trolls) but so far this has not been enough to stop trolls trolling. The aim of this work is to use Sentic Computing, a new paradigm for the aective analysis of natural language text, to detect trolls and hence prevent web-users from being emotionally hurt by malicious posts.

Keywords
Sentic Computing; AI; Semantic Web; NLP; Opinion Mining and Sentiment Analysis