Social media have been extensively praised for increasing democratic discussion on social issues related to policy and politics. However, what happens when this powerful communication tools are ...exploited to manipulate online discussion, to change the public perception of political entities, or even to try affecting the outcome of political elections? In this study we investigated how the presence of social media bots, algorithmically driven entities that on the surface appear as legitimate users, affect political discussion around the 2016 U.S. Presidential election. By leveraging state-of-the-art social bot detection algorithms, we uncovered a large fraction of user population that may not be human, accounting for a significant portion of generated content (about one-fifth of the entire conversation). We inferred political partisanships from hashtag adoption, for both humans and bots, and studied spatio-temporal communication, political support dynamics, and influence mechanisms by discovering the level of network embeddedness of the bots. Our findings suggest that the presence of social media bots can indeed negatively affect democratic political discussion rather than improving it, which in turn can potentially alter public opinion and endanger the integrity of the Presidential election.
Democracies are postulated upon the ability to carry out fair elections, free from any form of interference or manipulation. Social media have been reportedly used to distort public opinion nearing ...election events in the United States and beyond. With over 240 million election-related tweets recorded between 20 June and 9 September 2020, in this study we chart the landscape of social media manipulation in the context of the upcoming 3 November 2020 U.S. presidential election. We focus on characterizing two salient dimensions of social media manipulation, namely (i) automation (e.g., the prevalence of bots), and (ii) distortion (e.g., manipulation of narratives, injection of conspiracies or rumors). Despite being outnumbered by several orders of magnitude, just a few thousands of bots generated spikes of conversations around real-world political events in all comparable with the volume of activity of humans. We discover that bots also exacerbate the consumption of content produced by users with their same political views, worsening the issue of political echo chambers. Furthermore, coordinated efforts carried out by Russia, China and other countries are hereby characterized. Finally, we draw a clear connection between bots, hyper-partisan media outlets, and conspiracy groups, suggesting the presence of systematic efforts to distort political narratives and propagate disinformation. Our findings may have impactful implications, shedding light on different forms of social media manipulation that may, altogether, ultimately pose a risk to the integrity of the election.
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