Research Article
Contextual Strategies for Detecting Spam in Academic Portals
@INPROCEEDINGS{10.1007/978-3-642-27308-7_26, author={Balaji Rajendran and Anoop Pandey}, title={Contextual Strategies for Detecting Spam in Academic Portals}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Engineering. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part II}, proceedings_a={CCSIT PATR II}, year={2012}, month={11}, keywords={Contextual Strategies Spam detection Academic Portal Socio-contextual Information Systems}, doi={10.1007/978-3-642-27308-7_26} }- Balaji Rajendran
Anoop Pandey
Year: 2012
Contextual Strategies for Detecting Spam in Academic Portals
CCSIT PATR II
Springer
DOI: 10.1007/978-3-642-27308-7_26
Abstract
The emergence of social networking platforms in online space and its ever increasing user base has opened up a new arena for the spammers to exploit. Spam, in these kinds of platforms and such other interactive tools like forums, instant messaging, could be created easily and difficult to stop it from spreading, which necessitates the development of better detection strategies. In this paper, we present a contextual strategy for detecting spam in a restricted domain such as an academic portal. The proposed method uses the relationship between the concepts of the domain and the concepts of the individual message fragments to determine the relevancy of the message to the given context and marks the outliers. The strategy has been tested using a prototype system which had networking and interactive features for the participants to share information, and the results indicated that the contextual strategy was fairly successful in detecting spam.
