
Contents
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Analytical Framework Analytical Framework
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Hypotheses Hypotheses
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Empirical Analysis Empirical Analysis
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Media Sources Media Sources
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Data Collection Data Collection
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Statistical AnalysisMedia Control Statistical AnalysisMedia Control
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Media Manipulation Media Manipulation
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Qualitative Analysis of News Stories Qualitative Analysis of News Stories
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S1: The December 2011 Protests S1: The December 2011 Protests
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S2–S3: Bolotnaya and Aftermath S2–S3: Bolotnaya and Aftermath
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S4: The Biryulyovo Protests and Riots S4: The Biryulyovo Protests and Riots
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Discussion Discussion
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Notes Notes
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References References
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6 } How Russian Media Control, Manipulate, and Leverage Public Discontent: Framing Protest in Autocracies
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Published:April 2020
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Abstract
The chapter analyzes how state media in authoritarian states manipulate information on protest. The authors develop a Russian-language dictionary and leverage the Latent Semantic Scaling (LSS) electronic content analysis technique to identify periods during which the media are more likely to portray protests as contributing to public disorder and those during which the media employ a frame that highlights citizens’ democratic right to freedom of assembly. Employing supervised machine learning, the authors analyze protest coverage in thousands of news stories that appeared in Russia’s state-controlled media during the 2011–2013 protest cycle and contrast it with coverage of protests in non-state-controlled media. Following the reelection of Vladimir Putin to his third presidential term in March 2012, a significant shift toward the disorder framing of anti-regime street activism was observed. This trend contrasts sharply with coverage of the October 2013 nationalist rallies in Moscow, which targeted migrants. The findings have implications for theorizing how autocrats manipulate protest.
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