哈萨克斯坦2022年1月的危机:国家专家通过社交媒体的陈述

Q1 Arts and Humanities Journal of Eurasian Studies Pub Date : 2023-11-01 DOI:10.1177/18793665231212575
Evgeny F Troitskiy, Anastasia M Pogorelskaya, Sergey M Yun, Darya O Dunaeva, Alexey L Blaginin
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引用次数: 0

摘要

本文旨在重建哈萨克斯坦政治分析人士通过社交媒体对2022年1月危机的再现。研究方法旨在结合定量和定性方法,通过使用API和PolyAnalysts基于标记词提取和处理的哈萨克斯坦政治分析师对社交媒体帖子的批判性话语分析来评估这些表征。这项研究的意义在于,政权不稳定的独特情况可能为专家群体提供公开发言的机会。然而,结论是,大多数分析人士复制的官方话语与非民主语境中发展起来的话语一致。因此,1月危机的主要专家话语相当同质化,并依赖于“旧”与“新”以及“弱”与“强”的二分法。因此,哈萨克斯坦政治分析人士的总体看法,看起来更像是一个关于“新哈萨克斯坦”诞生的政治神话,而不是对1月危机的起因、行动者和后果的重建。这意味着专家团体更喜欢国家政权的受控演变,而不是基层发起的变革。
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Kazakhstan’s January 2022 crisis: Representations by national experts via social media
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.
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来源期刊
Journal of Eurasian Studies
Journal of Eurasian Studies Arts and Humanities-History
CiteScore
2.60
自引率
0.00%
发文量
15
审稿时长
8 weeks
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