Troll Detection : A study of source usage between clusters of Twitter tweets todetect Internet trolls

Sammanfattning: The purpose of this study was to examine whether it is possible to detect possibly malicioustweets posted by so-called trolls by inspecting the usage of sources such as url links,hashtags, user mentions and other media between clusters of tweets. This was done byutilizing the latent dirichlet allocation algorithm to find and assign topics to every tweet,clustering the tweets through their topics with the k-means algorithm. The resulting clusterswas iterated through and data fetch and summarized to examine any difference between theclusters. The results suggest that this method for finding trolls is, in combination with alexical study of the tweets text, plausible.