IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v156y2017icp78-81.html
   My bibliography  Save this article

Collective mass media bias, social media, and non-partisans

Author

Listed:
  • Luo, Xiaoyi

Abstract

This paper builds a simple political agency model to demonstrate that there is a possible collective bias in the reporting of political issues, and suggests that this bias may lead society to a collective failure, in which overall social welfare is harmed. In our model, media outlets aim to build a reputation of high adeptness at policy forecasting, and audiences rely on policy information to make better decisions and update their beliefs regarding the quality of each outlet after the election outcome is revealed. The role of social media is incorporated into our model’s framework; thus, the chance of a non-partisan individual being informed about each political candidate’s proposed agenda depends on the collective mass media coverage of that candidate as well as the number of partisan individuals in favor of that candidate, since it is assumed that partisan voters post politically relevant information on social networks.

Suggested Citation

  • Luo, Xiaoyi, 2017. "Collective mass media bias, social media, and non-partisans," Economics Letters, Elsevier, vol. 156(C), pages 78-81.
  • Handle: RePEc:eee:ecolet:v:156:y:2017:i:c:p:78-81
    DOI: 10.1016/j.econlet.2017.04.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176517301556
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2017.04.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Timothy Besley & Andrea Prat, 2006. "Handcuffs for the Grabbing Hand? Media Capture and Government Accountability," American Economic Review, American Economic Association, vol. 96(3), pages 720-736, June.
    5. Kreps, David M. & Wilson, Robert, 1982. "Reputation and imperfect information," Journal of Economic Theory, Elsevier, vol. 27(2), pages 253-279, August.
    6. Baron, David P., 2006. "Persistent media bias," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 1-36, January.
    7. 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.
    8. David Strömberg, 2004. "Mass Media Competition, Political Competition, and Public Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(1), pages 265-284.
    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. Jun Hu, 2021. "Regulation of media bias on online newspapers," Working Papers hal-03120466, HAL.

    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. Sobbrio, Francesco, 2014. "Citizen-editors' endogenous information acquisition and news accuracy," Journal of Public Economics, Elsevier, vol. 113(C), pages 43-53.
    2. Petrova, Maria, 2011. "Newspapers and Parties: How Advertising Revenues Created an Independent Press," American Political Science Review, Cambridge University Press, vol. 105(4), pages 790-808, November.
    3. Puglisi Riccardo, 2011. "Being The New York Times: the Political Behaviour of a Newspaper," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-34, April.
    4. John Duggan & César Martinelli, 2008. "The Role of Media Slant in Elections and Economics," Wallis Working Papers WP54, University of Rochester - Wallis Institute of Political Economy.
    5. Friebel, Guido & Heinz, Matthias, 2014. "Media slant against foreign owners: Downsizing," Journal of Public Economics, Elsevier, vol. 120(C), pages 97-106.
    6. Federico Vaccari, 2023. "Influential news and policy-making," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(4), pages 1363-1418, November.
    7. repec:hal:spmain:info:hdl:2441/7jk88md0ar9hga662p2vjjq4kc is not listed on IDEAS
    8. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    9. Gehlbach, Scott & Sonin, Konstantin, 2014. "Government control of the media," Journal of Public Economics, Elsevier, vol. 118(C), pages 163-171.
    10. Ascensión Andina Díaz, 2011. "Mass Media in Economics: Origins and Subsequent Contributions," Working Papers 2011-02, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    11. 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.
    12. repec:tiu:tiucen:2013072 is not listed on IDEAS
    13. Cagé, Julia, 2020. "Media competition, information provision and political participation: Evidence from French local newspapers and elections, 1944–2014," Journal of Public Economics, Elsevier, vol. 185(C).
    14. repec:hal:spmain:info:hdl:2441/eu4vqp9ompqllr09iats7d416 is not listed on IDEAS
    15. Couttenier, Mathieu & Hatte, Sophie, 2016. "Mass media effects on non-governmental organizations," Journal of Development Economics, Elsevier, vol. 123(C), pages 57-72.
    16. Strömberg, David & Prat, Andrea, 2011. "The Political Economy of Mass Media," CEPR Discussion Papers 8246, C.E.P.R. Discussion Papers.
    17. Biondo, A.E. & Pluchino, A. & Rapisarda, A., 2018. "Modeling surveys effects in political competitions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 714-726.
    18. David Strömberg, 2015. "Media and Politics," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 173-205, August.
    19. Alaoui, Larbi & Germano, Fabrizio, 2020. "Time scarcity and the market for news," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 173-195.
    20. Choe, Chongwoo & Raschky, Paul A., 2016. "Media, institutions, and government action: Prevention vs. palliation in the time of cholera," European Journal of Political Economy, Elsevier, vol. 41(C), pages 75-93.
    21. 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.
    22. repec:hal:spmain:info:hdl:2441/478a1feno18otpdr60lclo4fuq is not listed on IDEAS
    23. Camilo García-Jimeno & Pinar Yildirim, 2017. "Matching Pennies on the Campaign Trail: An Empirical Study of Senate Elections and Media Coverage," NBER Working Papers 23198, National Bureau of Economic Research, Inc.
    24. Antony Millner & Hélène Ollivier, 2016. "Beliefs, Politics, and Environmental Policy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 226-244.

    More about this item

    Keywords

    Mass media; Social media; Media bias; Non-partisans; Public policy; Collective failure;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

    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:eee:ecolet:v:156:y:2017:i:c:p:78-81. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.