Identifying popularity manipulation of livestreams on twitch.tv
Watts, Collin Andrew
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Livestreaming has grown from a theoretical concept to a multibillion dollar industry in the span of less than 10 years. This industry couples entertainers with audiences, and derives its revenue primarily from subscription and advertisement. As with many such fast growth industries, the growth of livestreaming has left it vulnerable to exploitation and manipulation. Using Deep Ensemble Recurrent Artificial Neural Networks, as well as a variety of other techniques, we attempt to identify this manipulation such that it might be properly protected against.