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Cited by 274

The DOI matches its Crossref record; 314 of the 314 references it cites were found in a registry or an index.

Collective preferences in democratic politics: opinion surveys and the will of the people

·2004·Choice Reviews Online

Abstract

Since so few people appear knowledgeable about public affairs, one might question whether collective policy preferences revealed in opinion surveys accurately convey the distribution of voices and interests in a society. This study, the first comprehensive treatment of the relationship between knowledge, representation, and political equality in opinion surveys, suggests some surprising answers. Knowledge does matter, and the way it is distributed in society can cause collective preferences to reflect disproportionately the opinions of some groups more than others. Sometimes collective preferences seem to represent something like the will of the people, but frequently they do not. Sometimes they rigidly enforce political equality in the expression of political viewpoints, but often they do not. The primary culprit is not any inherent shortcoming in the methods of survey research. Rather, it is the limited degree of knowledge held by ordinary citizens about public affairs. Accounting for these factors can help better appreciate thepossibilities for using opinion polls to represent the people's voice.

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Metadata

Venue
Choice Reviews Online
Published
2004-10-01
Volume
42
Issue
02
Pages
42-1221-42-1221
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W1523850678
Cited by
274
References
314
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Collective preferences in democratic politics: opinion surveys and the will of the people. https://app.cochat.ai/papers/10.5860/choice.42-1221
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Collective preferences in democratic politics: opinion surveys and the will of the people. (2004). Choice Reviews Online. https://doi.org/10.5860/choice.42-1221

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.