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Assembling the Networks and Audiences of Disinformation: How Successful Russian IRA Twitter Accounts Built Their Followings, 2015-2017

  • Yini Zhang
  • , Josephine Lukito
  • , Min Hsin Su
  • , Jiyoun Suk
  • , Yiping Xia
  • , Sang Jung Kim
  • , Larissa Doroshenko
  • , Chris Wells

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

This study investigates how successful Russian Internet Research Agency (IRA) Twitter accounts constructed the followings that were central to their disinformation campaigns around the 2016 U.S. presidential election. Treating an account's social media following as both an ego network and an audience critical for information diffusion and influence accrual, we situate IRA Twitter accounts' accumulation of followers in the ideologically polarized, attention driven, and asymmetric political communication system. Results show that partisan enclaves on Twitter contributed to IRA accounts' followings through retweeting; and that mainstream and hyperpartisan media assisted conservative IRA accounts' following gain by embedding their tweets in news. These results illustrate how network dynamics within social media and news media amplification beyond it together boosted social media followings. Our results also highlight the dynamics fanning the flames of disinformation: partisan polarization, media fragmentation and asymmetry, and an attention economy optimized for engagement rather than accuracy.

Original languageEnglish
Pages (from-to)305-331
Number of pages27
JournalJournal of Communication
Volume71
Issue number2
DOIs
StatePublished - Apr 1 2021

Keywords

  • Asymmetry
  • Attention Economy
  • Disinformation
  • Political Polarization
  • Social Media Following

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