scispace - formally typeset
Open AccessJournal ArticleDOI

How Censorship in China Allows Government Criticism but Silences Collective Expression

Gary King, +2 more
- 01 May 2013 - 
- Vol. 107, Iss: 02, pp 326-343
Reads0
Chats0
TLDR
Wang et al. as discussed by the authors proposed a system to locate, download, and analyze the content of millions of social media posts originating from nearly 1,400 different social media services all over China before the Chinese government is able to find, evaluate, and censor the subset they deem objectionable.
Abstract
We offer the first large scale, multiple source analysis of the outcome of what may be the most extensive effort to selectively censor human expression ever implemented. To do this, we have devised a system to locate, download, and analyze the content of millions of social media posts originating from nearly 1,400 different social media services all over China before the Chinese government is able to find, evaluate, and censor (i.e., remove from the Internet) the subset they deem objectionable. Using modern computer-assisted text analytic methods that we adapt to and validate in the Chinese language, we compare the substantive content of posts censored to those not censored over time in each of 85 topic areas. Contrary to previous understandings, posts with negative, even vitriolic, criticism of the state, its leaders, and its policies are not more likely to be censored. Instead, we show that the censorship program is aimed at curtailing collective action by silencing comments that represent, reinforce, or spur social mobilization, regardless of content. Censorship is oriented toward attempting to forestall collective activities that are occurring now or may occur in the future—and, as such, seem to clearly expose government intent.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument

TL;DR: In this paper, the authors of 50c party posts vociferously argue for the government's side in political and policy debates are identified and analyzed, and the authors show that most of these posts involve cheerleading for China, the revolutionary history of the Communist Party, or other symbols of the regime.
Journal ArticleDOI

Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France

TL;DR: Analysis of the online popularity of Italian political leaders and the voting intention of French Internet users in both the 2012 presidential ballot and the subsequent legislative election shows a remarkable ability for social media to forecast electoral results, as well as a noteworthy correlation between social media and the results of traditional mass surveys.
Journal ArticleDOI

China's Strategic Censorship

TL;DR: Li et al. as discussed by the authors show that under some conditions, a regime optimally permits investigative reporting on lower-level officialdom, adjusting how much reporting is allowed depending on the level of underlying social tensions.
Journal ArticleDOI

Computer-Assisted Text Analysis for Comparative Politics

TL;DR: Practical issues that arise in the processing, management, translation, and analysis of textual data are discussed with a particular focus on how procedures differ across languages.
Journal ArticleDOI

Reverse-engineering censorship in China: Randomized experimentation and participant observation

TL;DR: It appears that criticism on the web, which was thought to be censored, is used by Chinese leaders to determine which officials are not doing their job of mollifying the people and need to be replaced.
References
More filters
Book

Robust Regression and Outlier Detection

TL;DR: This paper presents the results of a two-year study of the statistical treatment of outliers in the context of one-Dimensional Location and its applications to discrete-time reinforcement learning.
Journal ArticleDOI

Robust Estimation of a Location Parameter

TL;DR: In this article, a new approach toward a theory of robust estimation is presented, which treats in detail the asymptotic theory of estimating a location parameter for contaminated normal distributions, and exhibits estimators that are asyptotically most robust (in a sense to be specified) among all translation invariant estimators.
MonographDOI

Democracy and Development: Political Institutions and Well-Being in the World, 1950–1990

TL;DR: In this paper, the authors discuss the relationship between political regimes and economic growth in the United States and discuss the dynamics of political regimes, economic growth, political instability, and population.
Journal ArticleDOI

Logistic Regression in Rare Events Data

TL;DR: The authors study rare events data, binary dependent variables with dozens to thousands of times fewer events than zeros (nonevents) and recommend corrections that outperform existing methods and change the estimates of absolute and relative risks by as much as some estimated effects reported in the literature.
Related Papers (5)