Clayton Allen Davis
Onur Varol
Emilio Ferrara
Alessandro Flammini
Filippo Menczer
ABSTRACT
While most online social media accounts are controlled by humans, these platforms also host automated agents called social bots or sybil accounts. Recent literature reported on cases of social bots imitating humans to manipulate discussions, alter the popularity of users, pollute content and spread misinformation, and even perform terrorist propaganda and recruitment actions. Here we present BotOrNot, a publicly-available service that leverages more than one thousand features to evaluate the extent to which a Twitter account exhibits similarity to the known characteristics of social bots. Since its release in May 2014, BotOrNot has served over one million requests via our website and APIs.
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Digital Library
- E. Ferrara, O. Varol, C. Davis, F. Menczer, and A. Flammini. The rise of social bots. Commun. ACM, in press. Preprint arXiv:1407.5225.Google Scholar
- K. Lee, B. D. Eoff, and J. Caverlee. Seven months with the devils: A long-term study of content polluters on Twitter. In Proc. 5th AAAI Intl. Conf. on Web and Social Media (ICWSM), pages 185--192, 2011.Google Scholar
- J. Ratkiewicz, M. Conover, M. Meiss, B. Gonçalves, S. Patil, A. Flammini, and F. Menczer. Truthy: mapping the spread of astroturf in microblog streams. In Proc. 20th ACM Intl. World Wide Web Conf. Companion (WWW), pages 249--252, 2011. Google ScholarDigital Library
- V. Subrahmanian, A. Azaria, S. Durst, V. Kagan, A. Galstyan, K. Lerman, L. Zhu, E. Ferrara, A. Flammini, F. Menczer, et al. The darpa twitter bot challenge. arXiv preprint arXiv:1601.05140, 2016.Google Scholar
Index Terms
- BotOrNot: A System to Evaluate Social Bots
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