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

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  • 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
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    References listed on IDEAS

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    1. 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.
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    4. Kreps, David M. & Wilson, Robert, 1982. "Reputation and imperfect information," Journal of Economic Theory, Elsevier, vol. 27(2), pages 253-279, August.
    5. Baron, David P., 2006. "Persistent media bias," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 1-36, January.
    6. 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.
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    Cited by:

    1. Jun Hu, 2021. "Regulation of media bias on online newspapers," Working Papers hal-03120466, HAL.

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    More about this item

    Keywords

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    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

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