IDEAS home Printed from https://ideas.repec.org/p/ajk/ajkdps/157.html
   My bibliography  Save this paper

The Demand for News: Accuracy Concerns versus Belief Confirmation Motives

Author

Listed:
  • Felix Chopra

    (University of Bonn)

  • Ingar Haaland

    (University of Bergen)

  • Christopher Roth

    (University of Cologne and ECONtribute)

Abstract

We examine the relative importance of accuracy concerns and belief confirmation motives in driving the demand for news. In experiments with US respondents, we first vary beliefs about whether an outlet reports the news in a right-wing biased, left-wing biased, or unbiased way. We then measure demand for a newsletter covering articles from this outlet. Respondents only reduce their demand for biased news if the bias is inconsistent with their own political beliefs, suggesting a trade-off between accuracy concerns and belief confirmation motives. We quantify this trade-off using a structural model and find a similar quantitative importance of both motives.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Felix Chopra & Ingar Haaland & Christopher Roth, 2022. "The Demand for News: Accuracy Concerns versus Belief Confirmation Motives," ECONtribute Discussion Papers Series 157, University of Bonn and University of Cologne, Germany.
    • Handle: RePEc:ajk:ajkdps:157
    as

    Download full text from publisher

    File URL: https://www.econtribute.de/RePEc/ajk/ajkdps/ECONtribute_157_2022.pdf
    File Function: Second version, 2022
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
    2. Jonathan de Quidt & Johannes Haushofer & Christopher Roth, 2018. "Measuring and Bounding Experimenter Demand," American Economic Review, American Economic Association, vol. 108(11), pages 3266-3302, November.
    3. Roland Bénabou & Jean Tirole, 2006. "Belief in a Just World and Redistributive Politics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 699-746.
    4. Andrei Shleifer, 2015. "Matthew Gentzkow, Winner of the 2014 Clark Medal," Journal of Economic Perspectives, American Economic Association, vol. 29(1), pages 181-192, Winter.
    5. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    6. Andreas Fuster & Ricardo Perez-Truglia & Mirko Wiederholt & Basit Zafar, 2022. "Expectations with Endogenous Information Acquisition: An Experimental Investigation," The Review of Economics and Statistics, MIT Press, vol. 104(5), pages 1059-1078, December.
    7. Hunt Allcott & Dmitry Taubinsky, 2015. "Evaluating Behaviorally Motivated Policy: Experimental Evidence from the Lightbulb Market," American Economic Review, American Economic Association, vol. 105(8), pages 2501-2538, August.
    8. Stefano DellaVigna & John A. List & Ulrike Malmendier & Gautam Rao, 2022. "Estimating Social Preferences and Gift Exchange at Work," American Economic Review, American Economic Association, vol. 112(3), pages 1038-1074, March.
    9. Joshua D. Angrist & Alan B. Krueger, 1993. "Split Sample Instrumental Variables," Working Papers 699, Princeton University, Department of Economics, Industrial Relations Section..
    10. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.
    11. Newey, Whitney K., 1987. "Efficient estimation of limited dependent variable models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 36(3), pages 231-250, November.
    12. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," ECONtribute Discussion Papers Series 124, University of Bonn and University of Cologne, Germany.
    13. Atsushi Inoue & Gary Solon, 2010. "Two-Sample Instrumental Variables Estimators," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 557-561, August.
    14. Rafael Di Tella & Ricardo Perez-Truglia & Andres Babino & Mariano Sigman, 2015. "Conveniently Upset: Avoiding Altruism by Distorting Beliefs about Others' Altruism," American Economic Review, American Economic Association, vol. 105(11), pages 3416-3442, November.
    15. Ruben Durante & Brian Knight, 2012. "Partisan Control, Media Bias, And Viewer Responses: Evidence From Berlusconi'S Italy," Journal of the European Economic Association, European Economic Association, vol. 10(3), pages 451-481, May.
    16. Baron, David P., 2006. "Persistent media bias," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 1-36, January.
    17. Angrist, Joshua D & Krueger, Alan B, 1995. "Split-Sample Instrumental Variables Estimates of the Return to Schooling," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 225-235, April.
    18. Salvatore Nunnari & Giovanni Montari, 2019. "Audi Alteram Partem: An Experiment on Selective Exposure to Information," Working Papers 650, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    19. Jeffrey Ely & Alexander Frankel & Emir Kamenica, 2015. "Suspense and Surprise," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 215-260.
    20. Wing Suen, 2004. "The Self-Perpetuation of Biased Beliefs," Economic Journal, Royal Economic Society, vol. 114(495), pages 377-396, April.
    21. Matthew Gentzkow & Jesse M. Shapiro, 2006. "Media Bias and Reputation," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 280-316, April.
    22. Christine L. Exley, 2015. "Excusing Selfishness in Charitable Giving: The Role of Risk," Discussion Papers 15-013, Stanford Institute for Economic Policy Research.
    23. 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.
    24. Gary Charness & Ryan Oprea & Sevgi Yuksel, 2021. "How do People Choose Between Biased Information Sources? Evidence from a Laboratory Experiment," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1656-1691.
    25. Peter Schwardmann & Egon Tripodi & Joël J. van der Weele, 2022. "Self-Persuasion: Evidence from Field Experiments at International Debating Competitions," American Economic Review, American Economic Association, vol. 112(4), pages 1118-1146, April.
    26. Garz, Marcel & Sood, Gaurav & Stone, Daniel F. & Wallace, Justin, 2020. "The supply of media slant across outlets and demand for slant within outlets: Evidence from US presidential campaign news," European Journal of Political Economy, Elsevier, vol. 63(C).
    27. Nielsen, Kirby, 2020. "Preferences for the resolution of uncertainty and the timing of information," Journal of Economic Theory, Elsevier, vol. 189(C).
    28. Demsetz, Harold & Lehn, Kenneth, 1985. "The Structure of Corporate Ownership: Causes and Consequences," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1155-1177, December.
    29. Stefano DellaVigna, 2018. "Structural Behavioral Economics," NBER Working Papers 24797, National Bureau of Economic Research, Inc.
    30. Matthew Gentzkow & Jesse M. Shapiro & Michael Sinkinson, 2014. "Competition and Ideological Diversity: Historical Evidence from US Newspapers," American Economic Review, American Economic Association, vol. 104(10), pages 3073-3114, October.
    31. Andrey Simonov & Justin Rao, 2022. "Demand for Online News under Government Control: Evidence from Russia," Journal of Political Economy, University of Chicago Press, vol. 130(2), pages 259-309.
    32. Jacopo Perego & Sevgi Yuksel, 2022. "Media Competition and Social Disagreement," Econometrica, Econometric Society, vol. 90(1), pages 223-265, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kfir Eliaz & Ran Spiegler, 2024. "News Media as Suppliers of Narratives (and Information)," Papers 2403.09155, arXiv.org.
    2. Ingar Haaland & Julian König & Christopher Roth & Johannes Wohlfart, 2024. "Information Experiments," ECONtribute Discussion Papers Series 271, University of Bonn and University of Cologne, Germany.
    3. Felix Chopra & Christopher Roth & Johannes Wohlfart, 2023. "Home Price Expectations and Spending: Evidence from a Field Experiment," ECONtribute Discussion Papers Series 233, University of Bonn and University of Cologne, Germany.
    4. Fang, Ximeng & Innocenti, Stefania, 2023. "Increasing the acceptability of carbon taxation: The role of social norms and economic reasoning," INET Oxford Working Papers 2023-25, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Salvatore Nunnari & Giovanni Montari, 2019. "Audi Alteram Partem: An Experiment on Selective Exposure to Information," Working Papers 650, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Eleonora Alabrese & Francesco Capozza & Prashant Garg, 2024. "Politicized Scientists: Credibility Cost of Political Expression on Twitter," CESifo Working Paper Series 11254, CESifo.
    7. Ambrocio, Gene & Hasan, Iftekhar, 2022. "Belief polarization and Covid-19," Bank of Finland Research Discussion Papers 10/2022, Bank of Finland.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    2. Chopra, Felix & Haaland, Ingar & Roth, Christopher, 2022. "Do people demand fact-checked news? Evidence from U.S. Democrats," Journal of Public Economics, Elsevier, vol. 205(C).
    3. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    4. Chopra, Felix & Haaland, Ingar & Roth, Christopher, 2021. "The Demand for Fact Checking," CAGE Online Working Paper Series 563, Competitive Advantage in the Global Economy (CAGE).
    5. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2022. "Recent Advances in Studies of News Consumption," ECONtribute Discussion Papers Series 204, University of Bonn and University of Cologne, Germany.
    6. Castagnetti, Alessandro & Schmacker, Renke, 2022. "Protecting the ego: Motivated information selection and updating," European Economic Review, Elsevier, vol. 142(C).
    7. David Strömberg, 2015. "Media and Politics," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 173-205, August.
    8. Kawamura, Kohei & Le Quement, Mark T., 2023. "News credibility and the quest for clicks," Journal of Public Economics, Elsevier, vol. 227(C).
    9. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    10. Le Yaouanq, Yves, 2018. "A Model of Ideological Thinking," Rationality and Competition Discussion Paper Series 85, CRC TRR 190 Rationality and Competition.
    11. Garz, Marcel & Sood, Gaurav & Stone, Daniel F. & Wallace, Justin, 2020. "The supply of media slant across outlets and demand for slant within outlets: Evidence from US presidential campaign news," European Journal of Political Economy, Elsevier, vol. 63(C).
    12. Sobbrio, Francesco, 2014. "Citizen-editors' endogenous information acquisition and news accuracy," Journal of Public Economics, Elsevier, vol. 113(C), pages 43-53.
    13. Le Yaouanq, Yves, 2023. "A model of voting with motivated beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 394-408.
    14. Strömberg, David & Prat, Andrea, 2011. "The Political Economy of Mass Media," CEPR Discussion Papers 8246, C.E.P.R. Discussion Papers.
    15. Ruben Durante & Brian Knight, 2012. "Partisan Control, Media Bias, And Viewer Responses: Evidence From Berlusconi'S Italy," Journal of the European Economic Association, European Economic Association, vol. 10(3), pages 451-481, May.
    16. Takanori Adachi & Yoichi Hizen, 2014. "Political Accountability, Electoral Control and Media Bias," The Japanese Economic Review, Japanese Economic Association, vol. 65(3), pages 316-343, September.
    17. Redlicki, B., 2017. "Spreading Lies," Cambridge Working Papers in Economics 1747, Faculty of Economics, University of Cambridge.
    18. Gambaro, Marco & Puglisi, Riccardo, 2015. "What do ads buy? Daily coverage of listed companies on the Italian press," European Journal of Political Economy, Elsevier, vol. 39(C), pages 41-57.
    19. Evan M. Calford & Anujit Charkraborty, 2022. "The Value of and Demand for Diverse News Sources," ANU Working Papers in Economics and Econometrics 2022-688, Australian National University, College of Business and Economics, School of Economics.
    20. Andina-Díaz, Ascensión & García-Martínez, José A., 2020. "Reputation and news suppression in the media industry," Games and Economic Behavior, Elsevier, vol. 123(C), pages 240-271.

    More about this item

    Keywords

    News Demand; Media Bias; Accuracy Concerns; Belief Confirmation;
    All these keywords.

    JEL classification:

    • 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
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ajk:ajkdps:157. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ECONtribute Office (email available below). General contact details of provider: https://www.econtribute.de .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.