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The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

The Dynamics and Political Implications of Anti-Intellectualism in the United States

Motta, Matthew·2018·American Politics Research

Abstract

Recently, Americans have become increasingly likely to hold anti-intellectual attitudes (i.e., negative affect toward scientists and other experts). However, few have investigated the political implications of anti-intellectualism, and much empirical uncertainty surrounds whether or not these attitudes can be mitigated. Drawing on cross-sectional General Social Survey (GSS) data and a national election panel in 2016, I find that anti-intellectualism is associated with not only the rejection of policy-relevant matters of scientific consensus but support for political movements (e.g., “Brexit”) and politicians (e.g., George Wallace, Donald Trump) who are skeptical of experts. Critically, though, I show that these effects can be mitigated. Verbal intelligence plays a strong role in mitigating anti-intellectual sympathies, compared with previously studied potential mitigators. I conclude by discussing how scholars might build on this research to study the political consequences of anti-intellectualism in the future.

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Metadata

Authors
Motta, M.
Venue
American Politics Research
Published
2017-07-11
Volume
46
Issue
3
Pages
465-498
ISSN
  • 0044-7803 (ISSN-L)
  • 1532-673X
  • 1552-3373
OpenAlex
W2735275651
Cited by
247
References
11
FWCI
66.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Dynamics and Political Implications of Anti-Intellectualism in the United States. https://app.cochat.ai/papers/10.1177/1532673x17719507
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Motta, M. (2018). The Dynamics and Political Implications of Anti-Intellectualism in the United States. American Politics Research. https://doi.org/10.1177/1532673x17719507

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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.