Why Trump Lost and How? A Rhetorical Explanation

Discovering why the 2020 election turned out as it did will, given the complexities of American politics, take considerable time. Discovering how Trump lost and how Biden won will take longer. This article presents an initial foray in the latter direction by subjecting the rhetoric of the campaign t...

Full description

Saved in:
Bibliographic Details
Published inThe American behavioral scientist (Beverly Hills) Vol. 66; no. 1; pp. 7 - 27
Main Author Hart, Roderick P.
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.01.2022
SAGE PUBLICATIONS, INC
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Discovering why the 2020 election turned out as it did will, given the complexities of American politics, take considerable time. Discovering how Trump lost and how Biden won will take longer. This article presents an initial foray in the latter direction by subjecting the rhetoric of the campaign to computerized language analysis via the DICTION program. In doing so, this study is the most recent outgrowth of the Campaign Mapping Project, begun at the University of Texas in Austin in 1995 and designed to produce comparative rhetorical data about presidential campaigns from 1948 to the present. The argument being made here is that Donald Trump lost the election by making excessive use of what Richard Hofstadter calls the Paranoid Style. In addition, Trump made exaggerated claims about abstract and unprovable conspiracies, all of which seemed derivative to voters worried about their health and their jobs in 2020. Joe Biden, in contrast, stressed Commonality—the need for shared purpose during a dangerous and dispiriting time. Biden also spoke directly of and to the people, thereby taking a page out of Trump’s own 2016 playbook. In many ways, Donald Trump’s self-preoccupations made him blind to the needs of the electorate, a habit that developed over the course of his presidency and that ultimately cost him his job.
ISSN:0002-7642
1552-3381
DOI:10.1177/0002764221996760