AAAI Publications, Fifth International AAAI Conference on Weblogs and Social Media

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Detecting and Tracking Political Abuse in Social Media
Jacob Ratkiewicz, Michael D. Conover, Mark Meiss, Bruno Goncalves, Alessandro Flammini, Filippo Menczer Menczer

Last modified: 2011-07-05

Abstract


We study astroturf political campaigns on microblogging platforms: politically-motivated individuals and organizations that use multiple centrally-controlled accounts to create the appearance of widespread support for a candidate or opinion. We describe a machine learning framework that combines topological, content-based and crowdsourced features of information diffusion networks on Twitter to detect the early stages of viral spreading of political misinformation.  We present promising preliminary results with better than 96% accuracy in the detection of astroturf content in the run-up to the 2010 U.S. midterm elections.

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