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

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arxiv 2304.09339 v1 pith:4UCAZTYX submitted 2023-04-18 econ.GN cs.CLq-fin.EC

classification econ.GNcs.CLq-fin.EC
keywords dataproductivityanalysechatgptfirstindividualitalyoutput
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

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  1. When Incentives Backfire, Data Stops Being Human

    cs.CY 2025-02 conditional novelty 6.0 of 10

    Incentive-driven crowdwork erodes intrinsic motivation and data quality, so data collection should be redesigned around intrinsic motivation, with games as a promising template.

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