The DARPA TWITTER BOT CHALLENGE1 V.S. Subrahmanian, University of Maryland, vs@cs.umd.edu Amos Azaria, Carnegie Mellon University and Sentimetrix, amos.azaria@gmail.com Skylar Durst and Vadim Kagan, Sentimetrix, skylar@sentimetrix.com, Kagan@sentimetrix.com...
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The DARPA TWITTER BOT CHALLENGE1 V.S. Subrahmanian, University of Maryland, vs@cs.umd.edu Amos Azaria, Carnegie Mellon University and Sentimetrix, amos.azaria@gmail.com Skylar Durst and Vadim Kagan, Sentimetrix, skylar@sentimetrix.com, Kagan@sentimetrix.com Aram Galstyan, Kristina Lerman, and Linhong Zhu, Univ. of Southern California galstyan@isi.edu, lerman@isi.edu, linhong.edu Emilio Ferrara, Alessandro Flammini, and Filippo Menczer, Indiana University Emilio.ferrara@gmail.com, aflammin@indiana.edu, fil@indiana.edu Rand Waltzman, Carnegie-Mellon University, rwaltzman@gmail.com ABSTRACT A number of organizations ranging from terrorist groups such as ISIS to politicians and nation states reportedly conduct explicit campaigns to influence opinion on social media, posing a risk to democratic processes. There is thus a growing need to identify and eliminate “influence bots” - realistic, automated identities that illicity shape discussion on sites like Twitter and Facebook - before they ge
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