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The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban

Author

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  • David H. Kreitmeir

    (SoDa Labs, Monash University)

  • Paul A. Raschky

    (Department of Economics and SoDa Laboratories, Monash University)

Abstract

We analyse the effects of the ban of ChatGPT, a generative pre-trained transformer chatbot, on individual productivity. We first compile data on the hourly coding output of over 8,000 professional GitHub users in Italy and other European countries to analyse the impact of the ban on individual productivity. Combining the high-frequency data with the sudden announcement of the ban in a difference-in-differences framework, we find that the output of Italian developers decreased by around 50\% in the first two business days after the ban and recovered after that. Applying a synthetic control approach to daily Google search and Tor usage data shows that the ban led to a significant increase in the use of censorship bypassing tools. Our findings show that users swiftly implement strategies to bypass Internet restrictions but this adaptation activity creates short-term disruptions and hampers productivity.

Suggested Citation

  • David H. Kreitmeir & Paul A. Raschky, 2023. "The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban," SoDa Laboratories Working Paper Series 2023-01, Monash University, SoDa Laboratories.
  • Handle: RePEc:ajr:sodwps:2023-01
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    1. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    2. Grant R. McDermott & Benjamin Hansen, 2021. "Labor Reallocation and Remote Work During COVID-19: Real-time Evidence from GitHub," NBER Working Papers 29598, National Bureau of Economic Research, Inc.
    3. David Atkin & Azam Chaudhry & Shamyla Chaudry & Amit K. Khandelwal & Eric Verhoogen, 2017. "Organizational Barriers to Technology Adoption: Evidence from Soccer-Ball Producers in Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1101-1164.
    4. Böhme, Marcus H. & Gröger, André & Stöhr, Tobias, 2020. "Searching for a better life: Predicting international migration with online search keywords," Journal of Development Economics, Elsevier, vol. 142(C).
    5. 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.
    6. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    7. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    9. Yuyu Chen & David Y. Yang, 2019. "The Impact of Media Censorship: 1984 or Brave New World?," American Economic Review, American Economic Association, vol. 109(6), pages 2294-2332, June.
    10. Acemoglu, Daron & Robinson, James A., 2006. "Economic Backwardness in Political Perspective," American Political Science Review, Cambridge University Press, vol. 100(1), pages 115-131, February.
    11. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    12. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    13. Klaus Desmet & Stephen Parente, 2014. "Resistance to Technology Adoption: The Rise and Decline of Guilds," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 437-458, July.
    14. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    15. Felix Holub & Beate Thies, 2023. "Air Quality, High-Skilled Worker Productivity And Adaptation: Evidence From Github," CRC TR 224 Discussion Paper Series crctr224_2023_402, University of Bonn and University of Mannheim, Germany.
    16. Bruno Caprettini & Hans-Joachim Voth, 2020. "Rage against the Machines: Labor-Saving Technology and Unrest in Industrializing England," American Economic Review: Insights, American Economic Association, vol. 2(3), pages 305-320, September.
    17. Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
    18. Thomas N. Hubbard, 2003. "Information, Decisions, and Productivity: On-Board Computers and Capacity Utilization in Trucking," American Economic Review, American Economic Association, vol. 93(4), pages 1328-1353, September.
    19. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
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    Cited by:

    1. Alexander Quispe & Rodrigo Grijalba, 2024. "Impact of the Availability of ChatGPT on Software Development: A Synthetic Difference in Differences Estimation using GitHub Data," Papers 2406.11046, arXiv.org.
    2. Sabatini, Fabio, 2023. "The Behavioral, Economic, and Political Impact of the Internet and Social Media: Empirical Challenges and Approaches," IZA Discussion Papers 16703, Institute of Labor Economics (IZA).
    3. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

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    More about this item

    Keywords

    chatgpt; productivity; internet; censorship; italy;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L88 - Industrial Organization - - Industry Studies: Services - - - Government Policy

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