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Cited by 706

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Conspiracy Endorsement as Motivated Reasoning: The Moderating Roles of Political Knowledge and Trust

Open access
Miller, Joanne M., Saunders, Kyle L., Farhart, Christina E.·2016·American Journal of Political Science

Abstract

Given the potential political and social significance of conspiracy beliefs, a substantial and growing body of work examines the individual‐level correlates of belief in conspiracy theories and general conspiratorial predispositions. However, although we know much about the psychological antecedents of conspiracy endorsement, we know less about the individual‐level political causes of these prevalent and consequential beliefs. Our work draws from the extant literature to posit that endorsement of conspiracy theories is a motivated process that serves both ideological and psychological needs. In doing so, we develop a theory that identifies a particular type of person—one who is both highly knowledgeable about politics and lacking in trust—who is most susceptible to ideologically motivated conspiracy endorsement. Further, we demonstrate that the moderators of belief in conspiracy theories are strikingly different for conservatives and liberals.

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Crossref · 10.1111/ajps.12234

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Metadata

Authors
Miller, J. M., Saunders, K. L., & Farhart, C. E.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2015-11-27
Volume
60
Issue
4
Pages
824-844
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W2180627577
Cited by
706
References
17
FWCI
120.70
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Conspiracy Endorsement as Motivated Reasoning: The Moderating Roles of Political Knowledge and Trust. https://app.cochat.ai/papers/10.1111/ajps.12234
The paper
Miller, J. M., Saunders, K. L., & Farhart, C. E. (2016). Conspiracy Endorsement as Motivated Reasoning: The Moderating Roles of Political Knowledge and Trust. American Journal of Political Science. https://doi.org/10.1111/ajps.12234

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.