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Sharing News Left and Right: Frictions and Misinformation on Twitter

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  • Daniel Ershov
  • Juan S Morales

Abstract

On 20 October 2020, prior to the US presidential election, Twitter modified its user interface for sharing social media posts. In an effort to reduce the spread of misinformation on the platform, the new interface nudged users to be thoughtful about the content they were sharing. Using data on over 160,000 tweets by US news media outlets, we show that this policy significantly reduced news sharing, but that the reductions varied heterogeneously by political slant: sharing of content fell significantly more for left-wing outlets relative to right-wing outlets. Examining Twitter activity data for news-sharing users, we find that conservatives were less responsive to Twitter’s intervention. Lastly, using web traffic data, we document that the policy significantly reduced visits to news media outlets’ websites.

Suggested Citation

  • Daniel Ershov & Juan S Morales, 2024. "Sharing News Left and Right: Frictions and Misinformation on Twitter," The Economic Journal, Royal Economic Society, vol. 134(662), pages 2391-2417.
    • Handle: RePEc:oup:econjl:v:134:y:2024:i:662:p:2391-2417.
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    1. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    2. Julia Cage & Nicolas Herve & Beatrice Mazoyer, 2020. "Social Media and Newsroom Production Decisions," Working Papers 20-14, NET Institute.
    3. Morales, Juan S., 2021. "Legislating during war: Conflict and politics in Colombia," Journal of Public Economics, Elsevier, vol. 193(C).
    4. Gordon Pennycook & Ziv Epstein & Mohsen Mosleh & Antonio A. Arechar & Dean Eckles & David G. Rand, 2021. "Shifting attention to accuracy can reduce misinformation online," Nature, Nature, vol. 592(7855), pages 590-595, April.
    5. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
    6. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    7. Pierluigi Conzo & Laura K. Taylor & Juan S. Morales & Margaret Samahita & Andrea Gallice, 2021. "Can ?s Change Minds? Social Media Endorsements and Policy Preferences," Working Papers 202104, School of Economics, University College Dublin.
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    Cited by:

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    3. Alexandre De Cornière & Miklos Sarvary, 2023. "Social media news: content bundling and news quality," Post-Print hal-04067655, HAL.
    4. Marcel Caesmann & Janis Goldzycher & Matteo Grigoletto & Lorenz Gschwent, 2024. "Censorship in democracy," ECON - Working Papers 446, Department of Economics - University of Zurich.

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    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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