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Media proliferation and partisan selective exposure

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  • Jimmy Chan
  • Daniel Stone

Abstract

The number of Internet news media outlets has skyrocketed in recent years. We analyze the effects of media proliferation on electoral outcomes assuming voters may choose news that is too partisan, from an informational perspective, i.e., engage in partisan selective exposure. We find that if voters who prefer highly partisan news—either because they are truly ideologically extreme, or due to a tendency towards excessive selective exposure—are politically “important,” then proliferation is socially beneficial, as it makes these voters more likely to obtain informative news. Otherwise, proliferation still protects against very poor electoral outcomes that can occur when the number of outlets is small and the only media options are highly partisan. Our model’s overall implication is thus that, surprisingly, proliferation is socially beneficial regardless of the degree of selective exposure. Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Jimmy Chan & Daniel Stone, 2013. "Media proliferation and partisan selective exposure," Public Choice, Springer, vol. 156(3), pages 467-490, September.
  • Handle: RePEc:kap:pubcho:v:156:y:2013:i:3:p:467-490
    DOI: 10.1007/s11127-012-9928-x
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    Cited by:

    1. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    2. John Lott & Kevin Hassett, 2014. "Is newspaper coverage of economic events politically biased?," Public Choice, Springer, vol. 160(1), pages 65-108, July.
    3. 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.
    4. Matthew Gentzkow & Jesse M. Shapiro & Daniel F. Stone, 2014. "Media Bias in the Marketplace: Theory," NBER Working Papers 19880, National Bureau of Economic Research, Inc.
    5. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    6. Saltuk Ozerturk, 2018. "Choosing a media outlet when seeking public approval," Public Choice, Springer, vol. 174(1), pages 3-21, January.
    7. Alejandro Castañeda & César Martinelli, 2018. "Politics, entertainment and business: a multisided model of media," Public Choice, Springer, vol. 174(3), pages 239-256, March.
    8. Trombetta, Federico & Rossignoli, Domenico, 2021. "The price of silence: Media competition, capture, and electoral accountability," European Journal of Political Economy, Elsevier, vol. 69(C).

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    More about this item

    Keywords

    Media bias; Media competition; Internet media; Selective exposure; Blogs; Elections; D72; D81; D83; L82;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • 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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