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Hair or fist

Framing a movement through visual metaphtonymy

Bibliographic Data

ID17812643
AuthorsSomayeh Hatamzadeh-Esfahani (Uppsala University), Somayeh Hatamzadeh (0000-0002-9831-300X, Uppsala University), Reza Kazemian (0000-0002-1437-0243, Uppsala University)
Year2026
Volume17
Issue4
Pages505-529
Publication date2026-01-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePragmatics and Society (JOURNAL)
Journal identifiersISSN: 1878-9714 • E-ISSN: 1878-9722
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/ps.23113.hat
OpenAlexW7118164771
LanguageEN
Citations received1
References cited39

In 2022, a protest movement in Iran was triggered by the death of a woman who had been arrested for not covering her hair in the way required by the government. The movement spread but was then squashed. Media coverage was intense and showed many images employing visual metaphors and metonymies, often in combination. While there are now many studies analyzing multimodal metaphors in political contexts, no study has, yet, dealt with the metaphors and metonymies used in the media during the 2022 protests. This study uses a framework proposed by Ruiz de Mendoza and colleagues (2002; 2014; 2020), to analyze the structural integration of metaphor and metonymy and their joint role in meaning-making during the protests. The analysis of nine images in social media including Instagram and X reveals that Iranian political groups strategically employed the blending of visual metaphors and metonymies to legitimize their own ideological positions and delegitimize opposing viewpoints. The findings highlight the complex interrelations and interactions between these multimodal devices, demonstrating their critical function in shaping political discourse and communicative intent

Fist · Ideology · Metaphor · Metaphor and metonymy · Metonymy · Politics · Discourse Analysis in Language Studies · Language, Metaphor, and Cognition · Rhetoric and Communication Studies

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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