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Microblogging social networks are easily subverted by automated fake identities that amass disproportionately large influence. In this paper we present an effort to profile and screen such kind of accounts from existing and original ground truth obtained from the Twitter platform. Seventy-one explanatory properties solely extracted from profile and timeline information are evaluated and used to compare...
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