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Kazakhstan’s January 2022 Crisis

Representations by National Experts via Social Media

Bibliographic Data

ID6154371
AuthorsEvgeny F Troitskiy (National Research Tomsk State University), A M Pogorelskaya (0000-0003-3003-4757, National Research Tomsk State University, corresponding author), Sergey M Yun (0000-0001-6166-1716, National Research Tomsk State University), Daria O Dunaeva (0000-0002-6622-9882, National Research Tomsk State University), Alexey Blaginin (0000-0001-6414-0238, National Research Tomsk State University)
Year2023
Volume15
Issue2
Pages227-238
Publication date2023-11-01
Open AccessYes
TypeARTICLE
VenueJournal of Eurasian Studies (JOURNAL)
Journal identifiersISSN: 1879-3665 • E-ISSN: 1879-3673
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/18793665231212575
OpenAlexW4388111741
LanguageEN
Citations received4
References cited9

This article aims at reconstructing the representations of the 2022 January crisis developed by Kazakhstani political analysts via social media. The research methodology seeks to combine quantitative and qualitative methods by assessing these representations by use of critical discourse analysis of social media posts by Kazakhstani political analysts extracted and processed by the use of API and PolyAnalysts based on marker words. The research significance lies in the unique situation of regime instability potentially providing the expert community with the chance to speak up openly. However, it is concluded that most analysts reproduced the official discourse that is in line with the discourses developed in non-democratic context. Thus, the dominant expert discourse of the January crisis is rather homogenous and relies on the dichotomies of “the old” versus “the new” as well as “the weak” versus “the strong.” As a result, the general picture by Kazakhstani political analysts looks more like a political myth about the birth of a “new Kazakhstan” than a reconstruction of the causes, actors and consequences of the January crisis. It implies that the expert community prefers controlled evolution of the state regime rather than grass roots initiated changes

Context (archaeology · Democracy · Dichotomy · Economics · Epistemology · Political economy · Political science · Politics · Positive economics · Public relations · Social science · Sociology · State (computer science · Computer Science · European and Russian Geopolitical Military Strategies · History · Law · Security, Politics, and Digital Transformation · Terrorism, Counterterrorism, and Political Violence

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Citations per year4
Citation span2025 - 2026 (2)
Highly citedNo

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