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The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting

Author

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  • Rebecca B. Morton

    (Department of Politics, NYU)

  • Marco Piovesan

    (Harvard Business School)

  • Jean-Robert Tyran

    (Department of Economics University of Vienna)

Abstract

We experimentally investigate information aggregation through majority voting when some voters are biased. In such situations, majority voting can have a "dark side", i.e. result in groups making choices inferior to those made by individuals acting alone. We develop a model to predict how two types of social information shape efficiency in the presence of biased voters and we test these predictions using a novel experimental design. In line with predictions, we find that information on the popularity of policy choices is beneficial when a minority of voters is biased, but harmful when a majority is biased. In theory, information on the success of policy choices elsewhere de-biases voters and alleviates the inefficiency. In the experiment, providing social information on success is ineffective. While voters with higher cognitive abilities are more likely to be de-biased by such information, most voters do not seem to interpret such information rationally.

Suggested Citation

  • Rebecca B. Morton & Marco Piovesan & Jean-Robert Tyran, 2012. "The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting," Harvard Business School Working Papers 13-017, Harvard Business School.
  • Handle: RePEc:hbs:wpaper:13-017
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    References listed on IDEAS

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    Cited by:

    1. Bernado Moreno & María del Pino Ramos-Sosa & Ismael Rodríguez-Lara, 2016. "Conformity, information and truthful voting," Working Papers 2016-01, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    2. Bernardo Moreno & María del Pino Ramos-Sosa & Ismael Rodriguez-Lara, 2019. "Conformity and truthful voting under different voting rules," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(2), pages 261-282, August.
    3. Meyer, Jacob & Rentschler, Lucas, 2023. "Abstention and informedness in nonpartisan elections," Games and Economic Behavior, Elsevier, vol. 142(C), pages 381-410.
    4. Marcello Puca & Krista Jabs Saral & Simone M. Sepe, 2023. "The Value of Consensus. An Experimental Analysis of Costly Deliberation," CSEF Working Papers 680, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Ralph-Christopher Bayer & Marco Faravelli & Carlos Pimienta, 2023. "The Wisdom of the Crowd: Uninformed Voting and the Efficiency of Democracy," Discussion Papers 2023-08, School of Economics, The University of New South Wales.
    6. Pogorelskiy. Kirill & Shum, Matthew, 2019. "News We Like to Share : How News Sharing on Social Networks Influences Voting Outcomes," The Warwick Economics Research Paper Series (TWERPS) 1199, University of Warwick, Department of Economics.
    7. Pogorelskiy, Kirill & Shum, Matthew, 2019. "News We Like to Share: How News Sharing on Social Networks Influences Voting Outcomes," CAGE Online Working Paper Series 427, Competitive Advantage in the Global Economy (CAGE).

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    More about this item

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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