Algorithm can place an net troll with 80% accuracy

Posted on Posted in Gaming Site

Algorithm identifies delinquent internet buyers with 80% accuracy Gurus analyzed 40 million posts by one.7 thousands and thousands buyers on news web page CNN.com, political news web page Breitbart.com and gaming site IGN.com.  The researchers then divided buyers into all those most probable to be banned, known as Long term-Banned Buyers (FBUs), and other buyers dubbed Never-Banned Buyers (NBUs)

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