Saudi women driving: images, stereotyping and digital media

Albawardi, A. and Jones, R. H. ORCID: https://orcid.org/0000-0002-9426-727X (2023) Saudi women driving: images, stereotyping and digital media. Visual Communication, 22 (1). pp. 96-127. ISSN 1741-3214 doi: 10.1177/14703572211040851

Abstract/Summary

This paper examines the representations of Saudi women driving that circulated shortly after the lifting of the ban and considers the social, commercial and technological forces that helped to shape those representations . A corpus of images was collected from two international image banks -- Getty and Shutterstock—as well as from a Google Image search. The images were analysed using van Leeuwen’s (2008) visual representation framework, with particular attention to the similarities and differences between the images available in the image banks and those that were made prominent in the Google search . In addition, semantic metadata accompanying these images were also analysed in order to understand the linguistic constraints that had put on searches for these images and the ontologies of the issue that they promoted. Finally, a more detailed analysis was performed on images that had been appropriated into different contexts such as news stories and advertisements to investigate how these images were adapted to support different political, cultural and commercial agendas. Findings suggest that images of Saudi women that circulated online internationally shortly after the lifting of the ban were mostly generic and decontextualised, creating simplified and trivialised depictions of gender relations and social change in the Kingdom. More generally, The analysis shows how commercial concerns which influence both the creation of stock images and the way they are taken up by news organisations and advertisers can sometimes have the effect of erasing the complexity of political events and reinforcing the very stereotypes they seem to be challenging.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/98621
Identification Number/DOI	10.1177/14703572211040851
Refereed	Yes
Divisions	Arts, Humanities and Social Science > School of Literature and Languages > English Language and Applied Linguistics
Publisher	Sage
Download/View statistics	View download statistics for this item