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Triangulating visual and textual corpus-assisted discourse analysis to study social actor representations: the case of Saudi women in the British and Saudi news media

Alsibai, D. and Jaworska, S. ORCID: https://orcid.org/0000-0001-7465-2245 (2023) Triangulating visual and textual corpus-assisted discourse analysis to study social actor representations: the case of Saudi women in the British and Saudi news media. Corpora. ISSN 1755-1676 (In Press)

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Abstract/Summary

Investigations of social actor representations across media present a large and important body of research in corpus-assisted discourse studies (CADS). Yet, most studies focus exclusively on one mode, the text, while other modes of communication, for example, visuals are either considered partially or not at all. While insights from textual analyses are invaluable in revealing salient and nuanced patterns of social actor representations in the media, visual accompaniments can reinforce particular ‘angles’ creating lasting perceptions on readers and viewers. Though some approaches exist to study considerable amounts of images, visual media data can be complex rendering them difficult to be studied alongside textual CADS. This article uses a triangulation of visual and textual CADS analysis to explore social actor representations in media texts and images. It does so by focusing on the representations of Saudi women in the UK and Saudi news media within the context of evolving women’s rights in Saudi Arabia. The study shows how such triangulation can be conducted in a doable and systematic way and how it can enrich CADS research on discursive representations of social actors across contexts.

Item Type:Article
Refereed:Yes
Divisions:Arts, Humanities and Social Science > School of Literature and Languages > English Language and Applied Linguistics
ID Code:110529
Uncontrolled Keywords:Corpus-assisted discourse studies (CADS), visual analysis, social actor representation, Saudi women, news media, UK, Saudi Arabia
Publisher:Edinburgh University Press

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