Article Title
A Pattern Recognition Framework for Detecting Changes in Chinese Internet Management System
Keywords
internet censorship, devolution paradox, pattern recognition, social network analysis
Abstract
Past studies on the Chinese internet management system have revealed a smart internet management system that takes advantage of time to filter content with collective action potential. How and why such a system was institutionalized? We offer a historical institutional analysis to explain the way in which the system evolved. We implement social network analysis to examine the Weibo posts of recurrent events, the elections in Area A in 2016 and 2018, to identify pattern changes in the system. There are two aspects of the changes: the centralization of the command line to a single authority and the implementation of a discriminatory strategy to deal with the various online expressions together forming this intelligent system. The improved Chinese information surveillance system demonstrates both a top-down information management and a bottom-up opinion formation.
Publisher
Tsinghua University Press
Recommended Citation
Yu-Sung Su, Yanqin Ruan, Siyu Sun et al. A Pattern Recognition Framework for Detecting Changes in Chinese Internet Management System. Journal of Social Computing 2020, 1(1): 28-39.
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