Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate




The recent past has highlighted the influential role of social networks and online media in shaping public debate on current affairs
and political issues. This paper is focused on studying the role of politically-motivated actors and their strategies for influencing
and manipulating public opinion online: partisan media, state-backed propaganda, and post-truth politics. In particular, we present
quantitative research on the presence and impact of these three “Ps†in online Twitter debates in two contexts: (i) the run up to
the UK EU membership referendum (“Brexitâ€); and (ii) the information operations of Russia-backed online troll accounts. We first
compare the impact of highly partisan versus mainstream media during the Brexit referendum, specifically comparing tweets by half
a million “leave†and “remain†supporters. Next, online propaganda strategies are examined, specifically left- and right-wing troll
accounts. Lastly, we study the impact of misleading claims made by the political leaders of the leave and remain campaigns. This
is then compared to the impact of the Russia-backed partisan media and propaganda accounts during the referendum. In particular,
just two of the many misleading claims made by politicians during the referendum were found to be cited in 4.6 times more tweets
than the 7,103 tweets related to Russia Today and Sputnik and in 10.2 times more tweets than the 3,200 Brexit-related tweets by
the Russian troll accounts.

Author Biographies

  • Genevieve Gorrell, University of Sheffield
    Research Associate, Department of Computer Science
  • Mehmet Emin Bakir, University of Sheffield
    Research Associate, Department of Computer Science
  • Ian Roberts, University of Sheffield
    Research Fellow, Department of Computer Science
  • Mark Anthony Greenwood, University of Sheffield
    Research Associate, Department of Computer Science
  • Benedetta Iavarone, Scuola Normale Superiore Pisa
    PhD student, Data Science
  • Kalina Bontcheva, University of Sheffield
    Professor, Department of Computer Science


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