JOURNAL ARTICLE

Carnival, charisma, and kayfabe: The delegation of intellectual labor through ludic layering in Donald Trump's rhetorical style.

  • Published In: Sociological Forum, 2024, v. 39, n. 4. P. 373 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hofstra, Jorie 3 of 3

Abstract

The many aberrations of Donald Trump's political career are important to analyze not only with regard to the state of the union but also for how they challenge existing theories of rhetoric, power, and performance. Among the studies conducted during and after Trump's presidential term to explain his persistent appeal to millions of Americans, scholars have constructively focused on his particular style of authoritarian populism, his revival of a premodern form of charisma, and his entanglements with professional wrestling. Taken together, these theoretical foci inform my approach to an underexamined subset of Trumpian utterances: those that simultaneously evoke entirely incompatible meanings, from the frivolous to the aggressive. Examining a series of such perplexing verbal and visual rhetorical moments through the lenses of the carnivalesque, the berserk charismatic, and the fractal fictions of kayfabe, I develop a theory of the delegation of intellectual labor through ludic layering that accounts for some of the power of Trump's rhetorical performances and is potentially applicable to understanding polyvocality in other populists' rhetoric. I further show how this concept suggests improvements on existing recommendations for listening to and reporting on an authoritarian figure like Trump. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Sociological Forum. 2024/12, Vol. 39, Issue 4, p373
  • Document Type:Article
  • Subject Area:Arts and Entertainment
  • Publication Date:2024
  • ISSN:0884-8971
  • DOI:10.1111/socf.13024
  • Accession Number:181547931
  • Copyright Statement:Copyright of Sociological Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.