Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter
This addresses the problem of detecting propaganda and automated behavior in social media for election integrity, though it is incremental as it applies known methods to a new context.
The paper investigated whether external influence campaigns similar to those in the 2016 US elections occurred in Europe, using the German federal election as a case study, and found that 79 US trolls spread right-wing propaganda and a detector identified 2,414 new bots.
For many, social networks have become the primary source of news, although the correctness of the provided information and its trustworthiness are often unclear. The investigations of the 2016 US presidential elections have brought the existence of external campaigns to light aiming at affecting the general political public opinion. In this paper, we investigate whether a similar influence on political elections can be observed in Europe as well. To this end, we use the past German federal election as an indicator and inspect the propaganda on Twitter, based on data from a period of 268 days. We find that 79 trolls from the US campaign have also acted upon the German federal election spreading right-wing views. Moreover, we develop a detector for finding automated behavior that enables us to identify 2,414 previously unknown bots.