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Opinions as Facts

Author

Listed:
  • Leonardo Bursztyn
  • Aakaash Rao
  • Christopher Roth
  • David Yanagizawa-Drott

Abstract

The rise of opinion programs has transformed television news. Because they present anchors’ subjective commentary and analysis, opinion programs often convey conflicting narratives about reality. We experimentally document that people across the ideological spectrum turn to opinion programs over “straight news”, even when provided large incentives to learn objective facts. We then examine the consequences of diverging narratives between opinion programs in a high-stakes setting: the early stages of the COVID-19 pandemic in the US. We find stark differences in the adoption of preventative behaviours among viewers of the two most popular opinion programs, both on the same network, which adopted opposing narratives about the threat posed by the COVID-19 pandemic. We then show that areas with greater relative viewership of the program downplaying the threat experienced a greater number of COVID-19 cases and deaths. Our evidence suggests that opinion programs may distort important beliefs and behaviours.

Suggested Citation

  • Leonardo Bursztyn & Aakaash Rao & Christopher Roth & David Yanagizawa-Drott, 2023. "Opinions as Facts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1832-1864.
  • Handle: RePEc:oup:restud:v:90:y:2023:i:4:p:1832-1864.
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    1. Leonardo Bursztyn & Georgy Egorov & Ruben Enikolopov & Maria Petrova, 2019. "Social Media and Xenophobia: Evidence from Russia," NBER Working Papers 26567, National Bureau of Economic Research, Inc.
    2. Mohammad Akbarpour & Cody Cook & Aude Marzuoli & Simon Mongey & Abhishek Nagaraj & Matteo Saccarola & Pietro Tebaldi & Shoshana Vasserman & Hanbin Yang, 2020. "Socioeconomic Network Heterogeneity and Pandemic Policy Response," NBER Working Papers 27374, National Bureau of Economic Research, Inc.
    3. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2021. "Optimal Targeted Lockdowns in a Multigroup SIR Model," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 487-502, December.
    4. repec:hal:pseose:halshs-01245557 is not listed on IDEAS
    5. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    6. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, November.
    7. Gregory J. Martin & Ali Yurukoglu, 2017. "Bias in Cable News: Persuasion and Polarization," American Economic Review, American Economic Association, vol. 107(9), pages 2565-2599, September.
    8. Theresa Kuchler & Dominic Russel & Johannes Stroebel, 2020. "The Geographic Spread of COVID-19 Correlates with the Structure of Social Networks as Measured by Facebook," NBER Working Papers 26990, National Bureau of Economic Research, Inc.
    9. 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.
    10. Dyer, Travis & Lang, Mark & Stice-Lawrence, Lorien, 2017. "The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation," Journal of Accounting and Economics, Elsevier, vol. 64(2), pages 221-245.
    11. Andrew Atkeson & Karen Kopecky & Tao Zha, 2020. "Estimating and Forecasting Disease Scenarios for COVID-19 with an SIR Model," NBER Working Papers 27335, National Bureau of Economic Research, Inc.
    12. Milena Djourelova, 2020. "Media persuasion through slanted language: Evidence from the coverage of immigration," Economics Working Papers 1720, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Ruben Durante & Ekaterina Zhuravskaya, 2018. "Attack When the World Is Not Watching? US News and the Israeli-Palestinian Conflict," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1085-1133.
    14. 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.
    15. Eliana La Ferrara & Alberto Chong & Suzanne Duryea, 2012. "Soap Operas and Fertility: Evidence from Brazil," American Economic Journal: Applied Economics, American Economic Association, vol. 4(4), pages 1-31, October.
    16. 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).
    17. Banerjee,Abhijit & La Ferrara,Eliana & Orozco Olvera,Victor Hugo, 2019. "The Entertaining Way to Behavioral Change : Fighting HIV with MTV," Policy Research Working Paper Series 8998, The World Bank.
    18. Hector Carcel-Villanova, 2022. "Text data analysis using Latent Dirichlet Allocation: an application to FOMC transcripts," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.
    19. Eliana La Ferrara, 2016. "Mass Media and Social Change: Can We Use Television to Fight Poverty?," Journal of the European Economic Association, European Economic Association, vol. 14(4), pages 791-827.
    20. Matthew Gentzkow & Jesse M. Shapiro, 2010. "What Drives Media Slant? Evidence From U.S. Daily Newspapers," Econometrica, Econometric Society, vol. 78(1), pages 35-71, January.
    21. Andrey Simonov & Szymon Sacher & Jean-Pierre Dube & Shirsho Biswas, 2020. "The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the COVID-19 Pandemic," Working Papers 2020-67, Becker Friedman Institute for Research In Economics.
    22. Melissa S. Kearney & Phillip B. Levine, 2015. "Media Influences on Social Outcomes: The Impact of MTV's 16 and Pregnant on Teen Childbearing," American Economic Review, American Economic Association, vol. 105(12), pages 3597-3632, December.
    23. Eliana La Ferrara, 2016. "Mass Media And Social Change: Can We Use Television To Fight Poverty?," Journal of the European Economic Association, European Economic Association, vol. 14(4), pages 791-827, August.
    24. Ruben Durante & Paolo Pinotti & Andrea Tesei, 2019. "The Political Legacy of Entertainment TV," American Economic Review, American Economic Association, vol. 109(7), pages 2497-2530, July.
    25. Rafkin, Charlie & Shreekumar, Advik & Vautrey, Pierre-Luc, 2021. "When guidance changes: Government stances and public beliefs," Journal of Public Economics, Elsevier, vol. 196(C).
    26. Patricia M. Davidson & Sarah L. Szanton, 2020. "Nursing homes and COVID‐19: We can and should do better," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(15-16), pages 2758-2759, August.
    27. Ash, Elliott & Galletta, Sergio & Hangartner, Dominik & Margalit, Yotam & Pinna, Matteo, 2024. "The Effect of Fox News on Health Behavior during COVID-19," Political Analysis, Cambridge University Press, vol. 32(2), pages 275-284, April.
    28. Thomas Eisensee & David Strömberg, 2007. "News Droughts, News Floods, and U. S. Disaster Relief," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 693-728.
    29. Abhijit Banerjee & Marcella Alsan & Emily Breza & Arun G. Chandrasekhar & Abhijit Chowdhury & Esther Duflo & Paul Goldsmith-Pinkham & Benjamin A. Olken, 2020. "Messages on COVID-19 Prevention in India Increased Symptoms Reporting and Adherence to Preventive Behaviors Among 25 Million Recipients with Similar Effects on Non-recipient Members of Their Communiti," NBER Working Papers 27496, National Bureau of Economic Research, Inc.
    30. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    31. Isaiah Andrews & James H. Stock & Liyang Sun, 2019. "Weak Instruments in Instrumental Variables Regression: Theory and Practice," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 727-753, August.
    32. 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.
    33. Carlo Schwarz, 2018. "ldagibbs: A command for topic modeling in Stata using latent Dirichlet allocation," Stata Journal, StataCorp LP, vol. 18(1), pages 101-117, March.
    34. Mehdi Shadmehr & Ethan Bueno de Mesquita, 2020. "Coordination and Social Distancing: Inertia in the Aggregate Response to COVID-19," Working Papers 2020-53, Becker Friedman Institute for Research In Economics.
    35. Draca, Mirko & Schwarz, Carlo, 2021. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," The Warwick Economics Research Paper Series (TWERPS) 07, University of Warwick, Department of Economics.
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    2. Leonardo Bursztyn & Georgy Egorov & Ingar Haaland & Aakaash Rao & Christopher Roth, 2023. "Justifying Dissent," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1403-1451.
    3. Jan Behringer & Lena Draeger & Sebastian Dullien & Sebastian Gechert, 2024. "News and Views on Public Finances: A Survey Experiment," FMM Working Paper 97-2024, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    4. Besley, Timothy & Dray, Sacha, 2023. "The political economy of lockdown: Does free media matter?," European Journal of Political Economy, Elsevier, vol. 78(C).
    5. Lara Marie Berger & Anna Kerkhof & Felix Mindl & Johannes Münster, 2023. "Debunking “Fake News” on Social Media: Short-Term and Longer-Term Effects of Fact Checking and Media Literacy Interventions," CESifo Working Paper Series 10576, CESifo.
    6. Bocar A. Ba & Abdoulaye Ndiaye & Roman G. Rivera & Alexander Whitefield, 2024. "Mispricing Narratives after Social Unrest," Opportunity and Inclusive Growth Institute Working Papers 096, Federal Reserve Bank of Minneapolis.
    7. Lara Berger & Anna Kerkhof & Felix Mindl & Johannes Münster, 2023. "Debunking "Fake News" on Social Media: Short-Term and Longer-Term Effects of Fact Checking and Media Literacy Interventions," ECONtribute Discussion Papers Series 262, University of Bonn and University of Cologne, Germany.
    8. Bocar A. Ba & Abdoulaye Ndiaye & Roman G. Rivera & Alexander Whitefield, 2024. "Mispricing Narratives after Social Unrest," CESifo Working Paper Series 11264, CESifo.
    9. Gianmarco Daniele & Andrea F.M. Martinangeli & Francesco Passarelli & Willem Sas & Lisa Windsteiger, 2023. "Externalities and the Erosion of Trust," CESifo Working Paper Series 10474, CESifo.

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    More about this item

    Keywords

    Opinion programs; Media; Narratives;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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