Communication power struggles on social media: A case study of the 2011–12 Russian protests
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In 2011-2012 Russia experienced a wave of mass protests surrounding the Duma and presidential elections. The protests, however, faded shortly after the second election. We study the Russian political discourse on Twitter during this period and the main actors involved: the pro-government camp, the opposition and the general public. We analyse around 700.000 Russian Twitter messages and investigate the social networks of the most active Twitter users. Our analysis shows that pro-government users employed a variety of communication strategies to shift the political discourse and marginalise oppositional voices on Twitter. This demonstrates how authorities can disempower regime critics and successfully manipulate public opinion on social media casting doubt on the assertion that traditional powers are necessarily disadvantaged in an increasingly networked and digitalised society.
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Authorities propagate a pro-government image and attempt to spread information about its strength and popularity.
“Here, authorities propagate a pro-government image and attempt to spread information about its strength and popularity (Guriev & Treisman, 2019; MacKinnon, 2011; Spaiser etal., 2017).”
From How Dictators Control the Internet: A Review Essay (2020) · cites this paper as Spaiser et al., 2017
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- Authors
- Spaiser, V., Chadefaux, T., Donnay, K., Russmann, F., & Helbing, D.
- Affiliations
- University of Leeds (GB)
- Trinity College Dublin (IE)
- University of Konstanz (DE)
- Corresponding author
- Spaiser, Viktoria
- Venue
- Journal of Information Technology & Politics
- Publisher
- Informa UK Limited
- Published
- 2017-04-03
- Volume
- 14
- Issue
- 2
- Pages
- 132-153
- ISSN
- 1933-1681 (ISSN-L)
- 1933-169X
- OpenAlex
- W3123669443
- Cited by
- 77
- References
- 102
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 6 · 2023: 6 · 2022: 7 · 2021: 10 · 2020: 25 · 2019: 8 · 2018: 1 · 2017: 4 · 2016: 3
- FWCI
- 24.18
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Information Technology & Politics (publishedVersion, cc-by-nc-nd)
- SSRN Electronic Journal (acceptedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- KOPS (University of Konstanz) (submittedVersion, cc-by-nc-nd)
- Funders
- ERC Advanced Investigator Grant “Momentum” (324247)
- CHIRP II project ETH “Systemic Risks, Systemic Solutions” (CHIRP II project ETH 48 12-1)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Sociology and Political Science › Sociopolitical Dynamics in Russia
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Keywords
- Twitter, political discourse, social media manipulation, communication strategies, oppositional discourse, public opinion, social networks, Russian State Duma, Russian presidential election
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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