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Cited by 1,544

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Public deliberation: pluralism, complexity, and democracy

·1997·Choice Reviews Online

Abstract

How can we create a vital and inclusive pluralistic democracy? Public Deliberation offers answers to this question by showing how democratic theory and democratic practice can be remade to face new challenges. Arguing against the skepticism about democracy that flourishes today on both ends of the political spectrum, James Bohman proposes a new model of public deliberation that will allow a renewed expansion of democratic practice, even in the face of increasing pluralism, inequality, and social complexity.Bohman builds on early Critical Theory and on the recent work of Jurgen Habermas and John Rawls (while taking into consideration criticisms of their work) to create a picture of a richer democratic practice based on the public reasoning of citizens. Starting with a pragmatic account of how deliberation actually works to promote agreements and cooperation, he develops a realistic model of deliberation by gradually introducing and analyzing the major tests facing deliberative democracy: cultural pluralism, social inequalities, social complexity, and community-wide biases and ideologies. The result is a new understanding of the ways in which public deliberation can be extended to meet the needs of modern societies.

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Metadata

Venue
Choice Reviews Online
Published
1997-05-01
Volume
34
Issue
09
Pages
34-5341-34-5341
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W1517493796
Cited by
1,544
References
0
Type
book review
Language
en
Open access
closed

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CoChat. (2026). Citation check: Public deliberation: pluralism, complexity, and democracy. https://app.cochat.ai/papers/10.5860/choice.34-5341
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Public deliberation: pluralism, complexity, and democracy. (1997). Choice Reviews Online. https://doi.org/10.5860/choice.34-5341

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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.