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Applied Linguistics
Article . 2025 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Figures of speech as a linguistic marker of post-traumatic stress disorder

Authors: Robin Quillivic; Frédérique Gayraud; Yann Auxéméry; Denis Peschanski; Francis Eustache; Jacques Dayan; Salma Mesmoudi;

Figures of speech as a linguistic marker of post-traumatic stress disorder

Abstract

Abstract This study investigates the use of figures of speech by individuals with post-traumatic stress disorder (PTSD), a mental health condition subsequent to a traumatic event. A large body of literature has addressed the issue of trauma-related metaphors, but other figures of speech have not been investigated. Our goal is to analyze these figures of speech in relation to PTSD and to assess the extent to which such linguistic markers can contribute to post-traumatic stress disorder diagnosis. A total of 136 individuals (49.2 per cent with PTSD) among the survivors of the 2015 Paris attacks were interviewed. The different figures of speech they used were analyzed. Our results show that unlike most studies focusing only on metaphors, other figures of speech are also relevant. Second, we found associations between metaphors, similes, and irony and the criterion “avoidance” as well as between the semantic features of metaphors and similes and symptoms. Finally, unlike most studies addressing the use of metaphors for therapeutic purposes, we suggest that figures of speech could be a relevant contributor to post-traumatic stress disorder diagnosis.

Country
France
Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], language, Post-traumatic stress disorder, figures of speech, diagnosis, [SCCO.LING] Cognitive science/Linguistics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green