Journal article
Assembling the Networks and Audiences of Disinformation: How Successful Russian IRA Twitter Accounts Built Their Followings, 2015-2017
Journal of communication, Vol.71(2), pp.305-331
04/01/2021
DOI: 10.1093/joc/jqaa042
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.
Details
- Title: Subtitle
- Assembling the Networks and Audiences of Disinformation: How Successful Russian IRA Twitter Accounts Built Their Followings, 2015-2017
- Creators
- Yini Zhang - University at Buffalo, State University of New YorkJosephine Lukito - The University of Texas at AustinMin-Hsin Su - University of Wisconsin–MadisonJiyoun Suk - University of Wisconsin–MadisonYiping Xia - University of Wisconsin–MadisonSang Jung Kim - Univ Wisconsin, Sch Journalism & Mass Commun, Madison, WI 53706 USALarissa Doroshenko - Northeastern UniversityChris Wells - Boston University
- Resource Type
- Journal article
- Publication Details
- Journal of communication, Vol.71(2), pp.305-331
- DOI
- 10.1093/joc/jqaa042
- ISSN
- 0021-9916
- eISSN
- 1460-2466
- Publisher
- Oxford Univ Press
- Number of pages
- 27
- Language
- English
- Date published
- 04/01/2021
- Academic Unit
- Center for Social Science Innovation; School of Journalism and Mass Communication
- Record Identifier
- 9984460327102771
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