Early detection of policies violations in a social media site: A Bayesian belief network approach

Anna Cinzia Squicciarini, William McGill, Giuseppe Petracca, Shuo Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

One of the main goals of all online social communities is to promote a stable, or perhaps, growing membership built around topics of like interest. Yet, communities are not impermeable to the potentially damaging effects resulting from those few participants that choose to behave in a manner that is counter to established norms of behavior. Typical moderators in online social communities are the ones tasked to reduce the risks associated with unhealthy user behavior by rapidly identifying and removing damaging posts and consequently taking action against the perpetrating user. Yet, the sheer volume of posts relative to the number of moderators available for review suggests a need for modern tools aimed at prioritizing posts based on the assessed risk each user poses to the community. To accomplish this, we propose a threat analysis model. Our model, referred to as TrICO (Threat requires Intent Capability and Opportunity) is implemented using Bayesian Networks, and achieves early detection of damaging behavior in online social communities. To the best of our knowledge, this is the first user-centered model for usage policy enforcement in online sites. We apply our model to a comprehensive data set characterizing the entirety of a popular discussion forum. Our results show that the TrICO model provides accurate results.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE International Symposium on Policies for Distributed Systems and Networks, POLICY 2012
Pages45-52
Number of pages8
DOIs
StatePublished - Oct 2 2012
Event2012 IEEE 13th International Symposium on Policies for Distributed Systems and Networks, POLICY 2012 - Chapel Hill, NC, United States
Duration: Jul 16 2012Jul 18 2012

Publication series

NameProceedings - 2012 IEEE International Symposium on Policies for Distributed Systems and Networks, POLICY 2012

Other

Other2012 IEEE 13th International Symposium on Policies for Distributed Systems and Networks, POLICY 2012
CountryUnited States
CityChapel Hill, NC
Period7/16/127/18/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Squicciarini, A. C., McGill, W., Petracca, G., & Huang, S. (2012). Early detection of policies violations in a social media site: A Bayesian belief network approach. In Proceedings - 2012 IEEE International Symposium on Policies for Distributed Systems and Networks, POLICY 2012 (pp. 45-52). [6268000] (Proceedings - 2012 IEEE International Symposium on Policies for Distributed Systems and Networks, POLICY 2012). https://doi.org/10.1109/POLICY.2012.19