Truthy: Mapping the spread of astroturf in microblog streams. Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Patil, S., Flammini, A., & Menczer, F. In Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011, pages 249-252, 2011.
Truthy: Mapping the spread of astroturf in microblog streams [link]Website  doi  abstract   bibtex   
Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have become crucial grounds on which public relations, marketing, and political battles are fought. We demonstrate a web service that tracks political memes in Twitter and helps detect astroturfing, smear campaigns, and other misinformation in the context of U.S. political elections. We also present some cases of abusive behaviors uncovered by our service. Our web service is based on 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. © 2011 ACM.
@inproceedings{
 title = {Truthy: Mapping the spread of astroturf in microblog streams},
 type = {inproceedings},
 year = {2011},
 keywords = {Classification (of information); Diffusion; Publi,Social networking (online),classification; information diffusion; memes; micr},
 pages = {249-252},
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 notes = {cited By 147; Conference of 20th International Conference Companion on World Wide Web, WWW 2011 ; Conference Date: 28 March 2011 Through 1 April 2011; Conference Code:84626},
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 abstract = {Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have become crucial grounds on which public relations, marketing, and political battles are fought. We demonstrate a web service that tracks political memes in Twitter and helps detect astroturfing, smear campaigns, and other misinformation in the context of U.S. political elections. We also present some cases of abusive behaviors uncovered by our service. Our web service is based on 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. © 2011 ACM.},
 bibtype = {inproceedings},
 author = {Ratkiewicz, J and Conover, M and Meiss, M and Gonçalves, B and Patil, S and Flammini, A and Menczer, F},
 doi = {10.1145/1963192.1963301},
 booktitle = {Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011}
}

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