1. Truthy
- Author
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Michael Conover, Mark R. Meiss, Snehal Patil, Bruno Gonçalves, Alessandro Flammini, Filippo Menczer, and Jacob Ratkiewicz
- Subjects
Service (systems architecture) ,Computer science ,Microblogging ,Sentiment analysis ,Context (language use) ,02 engineering and technology ,computer.software_genre ,Data science ,Social relation ,Politics ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Social media ,Web service ,computer - Abstract
Online social media are complementing and in some cases replac- ing person-to-person social interaction and redefining the diffu- sion of information. In particular, microblogs have become crucial grounds on which public relations, marketing, and political battles are fought. We introduce an extensible framework that will enable the real-time analysis of meme diffusion in social media by mining, visualizing, mapping, classifying, and modeling massive streams of public microblogging events. We describe a Web service that leverages this framework to track political memes in Twitter and help detect astroturfing, smear campaigns, and other misinforma- tion in the context of U.S. political elections. We present some cases of abusive behaviors uncovered by our service. Finally, we discuss promising preliminary results on the detection of suspicious memes via supervised learning based on features extracted from the topology of the diffusion networks, sentiment analysis, and crowd- sourced annotations.
- Published
- 2011
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