Can Biased Polls Distort Electoral Results? Evidence From The Lab And The Field

Aristotelis Boukouras (), Will Jennings (), Lunzheng Li () and Zacharias Maniadis

No 19/06, Discussion Papers in Economics from Division of Economics, School of Business, University of Leicester

Abstract: Biased exposure of voters to the outcome of polls constitutes a risk to the principle of balanced and impartial elections. We first show empirically how modern communication (through social media) may naturally result in such biased exposure. Then, in a series of experiments with a total of 375 participants, we investigate the impact of such biased exposure on election outcomes in an environment where only a strict subset of voters has information on the quality of the two candidates. Thus, polls serve to communicate information to uninformed voters. In our treatment conditions, participants have access to a biased sample of polls’ results, favouring systematically one candidate. Participants in the biased treatment conditions consistently elect the candidate favoured by polls more often than in the unbiased control conditions. Remarkably, this holds even when voters are a priori informed about the bias. Accordingly, our results indicate that – in an experimental setting at least – biased polls distort election results via two channels: (i) by distorting the information set of voters, and (ii) by providing an anchor for subjects’ expectations regarding the election outcome. Overall, biased exposure distorts elections in a very robust manner.

JEL-codes: D72 D83 (search for similar items in EconPapers)
Date: 2019-08
New Economics Papers: this item is included in nep-cdm, nep-exp and nep-pol
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Working Paper: Can Biased Polls Distort Electoral Results? Evidence from the Lab and the Field (2019)
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