First Monday 22(8) - August 7, 2017
33 Pages Posted: 1 Jul 2017 Last revised: 13 Aug 2017
Date Written: June 30, 2017
Recent accounts from researchers, journalists, as well as federal investigators, reached a unanimous conclusion: social media are systematically exploited to manipulate and alter public opinion. Some disinformation campaigns have been coordinated by means of bots, social media accounts controlled by computer scripts that try to disguise themselves as legitimate human users. In this study, we describe one such operation occurred in the run up to the 2017 French presidential election. We collected a massive Twitter dataset of nearly 17 million posts occurred between April 27 and May 7, 2017 (Election Day). We then set to study the MacronLeaks disinformation campaign: By leveraging a mix of machine learning and cognitive behavioral modeling techniques, we separated humans from bots, and then studied the activities of the two groups taken independently, as well as their interplay. We provide a characterization of both the bots and the users who engaged with them, and oppose it to those users who didn't. Prior interests of disinformation adopters pinpoint to the reasons of scarce success of this campaign: the users who engaged with MacronLeaks are mostly foreigners with preexisting interest in alt-right topics and alternative news media, rather than French users with diverse political views. Concluding, anomalous account usage patterns suggest the possible existence of a black-market for reusable political disinformation bots.
Suggested Citation: Suggested Citation
Ferrara, Emilio, Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election (June 30, 2017). First Monday 22(8) - August 7, 2017. Available at SSRN: https://ssrn.com/abstract=2995809