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Media Use, Social Structure, and Belief in 9/11 Conspiracy Theories

Stempel, Carl, Hargrove, Thomas, Stempel, Guido H.·2007·Journalism & Mass Communication Quarterly

Abstract

A survey of 1,010 randomly selected adults asked about media use and belief in three conspiracy theories about the attacks of September 11, 2001. “Paranoid style” and “cultural sociology” theories are outlined, and empirical support is found for both. Patterns vary somewhat by conspiracy theory, but members of less powerful groups (racial minorities, lower social class, women, younger ages) are more likely to believe at least one of the conspiracies, as are those with low levels of media involvement and consumers of less legitimate media (blogs and grocery store tabloids). Consumers of legitimate media (daily newspapers and network TV news) are less likely to believe at least one of the conspiracies, although these relationships are not significant after controlling for social structural variables. Beliefs in all three conspiracies are aligned with mainstream political party divisions, evidence that conspiracy thinking is now a normal part of mainstream political conflict in the United States.

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Metadata

Authors
Stempel, C., Hargrove, T., & Stempel, G. H.
Venue
Journalism & Mass Communication Quarterly
Published
2007-06
Volume
84
Issue
2
Pages
353-372
ISSN
  • 1077-6990 (ISSN-L)
  • 2161-430X
OpenAlex
W1988135953
Cited by
213
References
0
FWCI
3.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Media Use, Social Structure, and Belief in 9/11 Conspiracy Theories. https://app.cochat.ai/papers/10.1177/107769900708400210
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Stempel, C., Hargrove, T., & Stempel, G. H. (2007). Media Use, Social Structure, and Belief in 9/11 Conspiracy Theories. Journalism & Mass Communication Quarterly. https://doi.org/10.1177/107769900708400210

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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.