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How Sudden Censorship Can Increase Access to Information

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  • HOBBS, WILLIAM R.
  • ROBERTS, MARGARET E.

Abstract

Conventional wisdom assumes that increased censorship will strictly decrease access to information. We delineate circumstances when increases in censorship expand access to information for a substantial subset of the population. When governments suddenly impose censorship on previously uncensored information, citizens accustomed to acquiring this information will be incentivized to learn methods of censorship evasion. These evasion tools provide continued access to the newly blocked information—and also extend users’ ability to access information that has long been censored. We illustrate this phenomenon using millions of individual-level actions of social media users in China before and after the block of Instagram. We show that the block inspired millions of Chinese users to acquire virtual private networks, and that these users subsequently joined censored websites like Twitter and Facebook. Despite initially being apolitical, these new users began browsing blocked political pages on Wikipedia, following Chinese political activists on Twitter, and discussing highly politicized topics such as opposition protests in Hong Kong.

Suggested Citation

  • Hobbs, William R. & Roberts, Margaret E., 2018. "How Sudden Censorship Can Increase Access to Information," American Political Science Review, Cambridge University Press, vol. 112(3), pages 621-636, August.
  • Handle: RePEc:cup:apsrev:v:112:y:2018:i:03:p:621-636_00
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    Cited by:

    1. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    2. David H. Kreitmeir & Paul A. Raschky, 2023. "The Unintended Consequences of Censoring Digital Technology -- Evidence from Italy's ChatGPT Ban," Papers 2304.09339, arXiv.org.
    3. Ahçi, Mustafa, 2023. "Essays on corporate disclosures, innovation, and investments," Other publications TiSEM 0dddb5f7-17e1-41ba-97da-0, Tilburg University, School of Economics and Management.
    4. Yongjun Zhang & Hao Lin & Yi Wang & Xinguang Fan, 2023. "Sinophobia was popular in Chinese language communities on Twitter during the early COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    5. Leonardo Bursztyn & Davide Cantoni & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2021. "Persistent Political Engagement: Social Interactions and the Dynamics of Protest Movements," American Economic Review: Insights, American Economic Association, vol. 3(2), pages 233-250, June.
    6. Jennifer Pan & Margaret E. Roberts, 2020. "Censorship’s Effect on Incidental Exposure to Information: Evidence From Wikipedia," SAGE Open, , vol. 10(1), pages 21582440198, February.
    7. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2022. "Recent Advances in Studies of News Consumption," ECONtribute Discussion Papers Series 204, University of Bonn and University of Cologne, Germany.
    8. Philipp M. Lutscher & Nils B. Weidmann & Margaret E. Roberts & Mattijs Jonker & Alistair King & Alberto Dainotti, 2020. "At Home and Abroad: The Use of Denial-of-service Attacks during Elections in Nondemocratic Regimes," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(2-3), pages 373-401, February.
    9. Boxell, Levi & Steinert-Threlkeld, Zachary, 2022. "Taxing dissent: The impact of a social media tax in Uganda," World Development, Elsevier, vol. 158(C).
    10. Ekaterina Zhuravskaya & Maria Petrova & Ruben Enikolopov, 2020. "Political Effects of the Internet and Social Media," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 415-438, August.
    11. Jun Liu & Jingyi Zhao, 2021. "More than plain text: Censorship deletion in the Chinese social media," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 18-31, January.
    12. David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Papers 2111.00992, arXiv.org.
    13. Rafael Jimenez-Duran, 2021. "The Economics of Content Moderation: Theory and Experimental Evidence from Hate Speech on Twitter," Natural Field Experiments 00754, The Field Experiments Website.
    14. Austin Horng-En Wang & Mei-chun Lee & Min-Hsuan Wu & Puma Shen, 2020. "Influencing overseas Chinese by tweets: text-images as the key tactic of Chinese propaganda," Journal of Computational Social Science, Springer, vol. 3(2), pages 469-486, November.
    15. Davide Cantoni & David Y Yang & Noam Yuchtman & Y Jane Zhang, 2019. "Protests as Strategic Games: Experimental Evidence from Hong Kong's Antiauthoritarian Movement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 1021-1077.
    16. David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Bremen Papers on Economics & Innovation 2108, University of Bremen, Faculty of Business Studies and Economics.
    17. Christian Gläßel & Katrin Paula, 2020. "Sometimes Less Is More: Censorship, News Falsification, and Disapproval in 1989 East Germany," American Journal of Political Science, John Wiley & Sons, vol. 64(3), pages 682-698, July.
    18. Levi Boxell & Zachary Steinert-Threlkeld, 2019. "Taxing dissent: The impact of a social media tax in Uganda," Papers 1909.04107, arXiv.org.
    19. José Gustavo Góngora-Goloubintseff, 2020. "The Falklands/Malvinas war taken to the Wikipedia realm: a multimodal discourse analysis of cross-lingual violations of the Neutral Point of View," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-9, December.

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