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Vague news and fake news

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  • Swank, Lotte

Abstract

I consider a situation in which citizens consult a report by the media to learn the state of the world. Besides the true state of the world, the report can contain two types of inaccuracies: persistent bias following from the media's ideology and random noise. Employing a theoretical model, I show that citizens perform additional investigations if there is much variance in noise. In contrast, citizens are not affected by persistent bias as they can anticipate it. These predictions are confirmed through an empirical analysis of the start of the COVID-19 outbreak, in which I utilize sentiment data to differentiate persistent bias from noise in media reports. The results suggest that media quality is more of a concern than media neutrality.

Suggested Citation

  • Swank, Lotte, 2023. "Vague news and fake news," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 89-106.
    • Handle: RePEc:eee:jeborg:v:215:y:2023:i:c:p:89-106
    DOI: 10.1016/j.jebo.2023.09.001
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    References listed on IDEAS

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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. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    3. Ruben Enikolopov & Maria Petrova & Ekaterina Zhuravskaya, 2011. "Media and Political Persuasion: Evidence from Russia," American Economic Review, American Economic Association, vol. 101(7), pages 3253-3285, December.
    4. Alan S. Gerber & Dean Karlan & Daniel Bergan, 2009. "Does the Media Matter? A Field Experiment Measuring the Effect of Newspapers on Voting Behavior and Political Opinions," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 35-52, April.
    5. Maja Adena & Ruben Enikolopov & Maria Petrova & Veronica Santarosa & Ekaterina Zhuravskaya, 2015. "Radio and the Rise of The Nazis in Prewar Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1885-1939.
    6. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    7. Stefano DellaVigna & Ethan Kaplan, 2007. "The Fox News Effect: Media Bias and Voting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1187-1234.
    8. Daron Acemoglu & Asuman Ozdaglar & James Siderius, 2021. "A Model of Online Misinformation," NBER Working Papers 28884, National Bureau of Economic Research, Inc.
    9. Bursztyn, Leonardo & Rao, Aakaash & Roth, Christopher & Yanagizawa-Drott, David, 2020. "Misinformation During a Pandemic," CAGE Online Working Paper Series 481, Competitive Advantage in the Global Economy (CAGE).
    10. Gabriele Gratton & Richard Holden & Anton Kolotilin, 2018. "When to Drop a Bombshell," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2139-2172.
    11. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    12. Matthew Gentzkow & Jesse M. Shapiro & Michael Sinkinson, 2011. "The Effect of Newspaper Entry and Exit on Electoral Politics," American Economic Review, American Economic Association, vol. 101(7), pages 2980-3018, December.
    13. Giovanni Andreottola & Antoni-Italo de Moragas, 2020. "Scandals, Media Competition and Political Accountability," CSEF Working Papers 557, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    14. Chun-Fang Chiang & Brian Knight, 2011. "Media Bias and Influence: Evidence from Newspaper Endorsements," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(3), pages 795-820.
    15. 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.
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    More about this item

    Keywords

    Persistent bias; Noise; Media investigation; Sentiment data; COVID-19;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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