Abstract
Censorship is one of the main forms of political coercion deployed by modern states to control and regulate public expression. In this article, we examine the political censorship of China’s intellectual public space, which has long been underexplored. We apply unsupervised machine learning to examine the database of a leading intellectual portal website, which serves as an archive of both published and censored intellectual writings between 2000 and 2020 and includes over 740 million Chinese characters. We identify a strategic censorship mechanism that consists of thematic and persona censorship elements. Thematic censorship involves the state filtering out writing that competes with the official policy narrative, historiography, and values. Persona censorship involves the complete muting of individual intellectuals who have previously made derogatory attacks on the supreme leaders of the Communist Party, which represents a symbolic act of open defiance.
Publisher
Cambridge University Press (CUP)
Subject
Political Science and International Relations
Cited by
1 articles.
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