Author:
Ratkiewicz Jacob,Conover Michael,Meiss Mark,Goncalves Bruno,Flammini Alessandro,Menczer Filippo
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.
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Cited by
18 articles.
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