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Cited by 566

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Rise of the Trumpenvolk: Populism in the 2016 Election

Oliver, J. Eric, Rahn, Wendy M.·2016·The ANNALS of the American Academy of Political and Social Science

Abstract

Despite the wide application of the label “populist” in the 2016 election cycle, there has been little systematic evidence that this election is distinctive in its populist appeal. Looking at historical trends, contemporary rhetoric, and public opinion data, we find that populism is an appropriate descriptor of the 2016 election and that Donald Trump stands out in particular as the populist par excellence. Historical data reveal a large “representation gap” that typically accompanies populist candidates. Content analysis of campaign speeches shows that Trump, more so than any other candidate, employs a rhetoric that is distinctive in its simplicity, anti-elitism, and collectivism. Original survey data show that Trump’s supporters are distinctive in their unique combination of anti-expertise, anti-elitism, and pronationalist sentiments. Together, these findings highlight the distinctiveness of populism as a mechanism of political mobilization and the unusual character of the 2016 race.

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Metadata

Authors
Oliver, J. E., & Rahn, W. M.
Venue
The ANNALS of the American Academy of Political and Social Science
Published
2016-08-17
Volume
667
Issue
1
Pages
189-206
ISSN
  • 0002-7162 (ISSN-L)
  • 1552-3349
OpenAlex
W2513807470
Cited by
566
References
36
FWCI
298.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rise of the Trumpenvolk: Populism in the 2016 Election. https://app.cochat.ai/papers/10.1177/0002716216662639
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Oliver, J. E., & Rahn, W. M. (2016). Rise of the Trumpenvolk: Populism in the 2016 Election. The ANNALS of the American Academy of Political and Social Science. https://doi.org/10.1177/0002716216662639

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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.