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

Working Paper: CEPR ID: DP9098

Authors: Rebecca Morton; Marco Piovesan; Jean-Robert Tyran

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.

Keywords: biased voters; information aggregation; majority voting

JEL Codes: C92; D02; D03; D7


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
majority of voters are unbiased (D72)superior outcomes (I14)
majority is biased (J15)inferior choices (D01)
social information on the popularity of policies (D72)lower efficiency (D61)
social information about the popularity of policies (D72)harm decision-making (D91)
information about past successes (C52)help debias voters (D72)
social information on success (Z13)no significant debiasing effect (D91)

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