The Impact of Media Censorship: 1984 or Brave New World?
Abstract
Media censorship is a hallmark of authoritarian regimes. We conduct a field experiment in China to measure the effects of providing citizens with access to an uncensored internet. We track subjects’ media consumption, beliefs regarding the media, economic beliefs, political attitudes, and behaviors over 18 months. We find four main results: (i) free access alone does not induce subjects to acquire politically sensitive information; (ii) temporary encouragement leads to a persistent increase in acquisition, indicating that demand is not permanently low; (iii) acquisition brings broad, substantial, and persistent changes to knowledge, beliefs, attitudes, and intended behaviors; and (iv) social transmission of information is statistically significant but small in magnitude. We calibrate a simple model to show that the combination of low demand for uncensored information and the moderate social transmission means China’s censorship apparatus may remain robust to a large number of citizens receiving access to an uncensored internet. (JEL C93, D72, D83, L82, L86, L88, P36)
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Chinese college students who have grown up with filtered Internet have very little demand for access to uncensored Internet because of a lack of knowledge of the value of inaccessible information.
“Chen and Yang show that Chinese college students, who have grown up with filtered Internet, have very little demand for access to uncensored Internet because of a lack of knowledge of the value of inaccessible information (187).”
From Physical and virtual repertoires of contention (2022) · cites this paper as [187]
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Yang, E., & Roberts, M. E. (2021) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3442188.3445916 · Cited by 14 · see citing works
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Zhuang, M. (2022) · Journal of the European Economic Association · doi:10.1093/jeea/jvac036 · Cited by 13 · see citing works
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I Know What You Mean: Information Compensation in an Authoritarian Country
Zhu, J., & Wang, C. (2020) · The International Journal of Press/Politics · doi:10.1177/1940161220963572 · Cited by 13 · see citing works
Sanctions and Social Capital: Evidence from the Russian Invasion of UkrainePreprint
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THE LONG-TERM IMPACT OF SOCIAL MOVEMENTS AND REPRESSION ON DEMOCRATIC ATTITUDES
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The Long-Lasting Effects of Living under Communism on Attitudes towards Financial MarketsPreprint
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Zhu, Y. (2024) · Big Data & Society · doi:10.1177/20539517241242450 · Cited by 11 · see citing works
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Intergovernmental Conflict and Censorship: Evidence From China’s Anti-Corruption CampaignPreprint
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Industry return volatility and spillover effects in stock market under climate risk perception
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- Authors
- Chen, Y., & Yang, D. Y.
- Affiliations
- Peking University (CN)
- Harvard University (US)
- ORCID
- Chen, Yuyu
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2019-06-01
- Volume
- 109
- Issue
- 6
- Pages
- 2294-2332
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2947564500
- Cited by
- 250
- References
- 39
- Citations by year
- 2026: 27 · 2025: 40 · 2024: 39 · 2023: 26 · 2022: 46 · 2021: 25 · 2020: 29 · 2019: 9 · 2018: 6 · 2017: 3
- FWCI
- 54.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Economic Review (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Political Science and International Relations › China's Socioeconomic Reforms and Governance
- Social Sciences › Sociology and Political Science › Law, Rights, and Freedoms
- Keywords
- media censorship, authoritarian regimes, political information acquisition, political attitudes, political behavior, information needs, field experiments
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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