Modelling and Identifying Troll Farm Accounts on Twitter

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Abstract

There is evidence that many news items are covered by troll farm accounts (i.e. over biased opinion or “fake news” spreading accounts). By modelling techniques and finding patterns of those accounts, it would be possible to anticipate their actions, and inhibit the spread of rumors. Within this context, the goal is to build a model to flag such accounts on trending topics. To do so, we use an unsupervised approach based on a dataset full of trolls from different countries released by Twitter in 2019