Image repair strategies in trump's self-defending speech in response to indictment: A pragmatic perspective
Nuha Ali Shakir () and
Qasim Obayes Al-Azzawi ()
Edelweiss Applied Science and Technology, 2024, vol. 8, issue 5, 307-316
Abstract:
The present study examines the image repair strategies employed by former President Trump as a public response to the indictment against him in his (2023) Mar-a-Lago speech after his arrest and arraignment in New York court, which indicted him on 34 counts of falsifying business records. The current study aims at analyzing the types of image repair strategies and tactics employed as defense strategies to repair the damaged public image, identifying the types of speech acts used for realizing these strategies pragmatically according to the eclectic model developed for the analysis. The analysis reveals that three types of image repair strategies are used, namely: Denial, evasion of responsibility, and reduction of offensiveness, in which reduction of offensiveness is the most achieved strategy through the tactic of attacking the accuser as the frequently employed tactic, followed by the denial strategy in Trump's speech. The realization of image repair tactics as pragmatic strategies is through triggering speech acts, the most frequently utilized SAs are the expressive SAs of criticizing and blaming, and the representative SAs of denying and accusing, that are used to realize the tactics of attack the accuser, simple denial and shift the blame pragmatically as SAs.
Keywords: Image repair strategies; pragmatics; Speech acts; Trump's speech. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/1688/575 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:8:y:2024:i:5:p:307-316:id:1688
Access Statistics for this article
More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().