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The generic uniqueness of AI imagery: A critical approach to Dall-E as semiotic technology
Örebro University, School of Humanities, Education and Social Sciences. (Multimodal kommunikation)ORCID iD: 0000-0003-1731-1940
University of Agder, Norway.
2025 (English)In: Discourse & Society, ISSN 0957-9265, E-ISSN 1460-3624, Vol. 36, no 4, p. 575-598Article in journal (Refereed) Published
Abstract [en]

This article addresses a major change emerging in visual communication worldwide: The advent of generative AI imagery. Rooted in Multimodal Critical Discourse Studies and Semiotic Technology Studies, the article scrutinizes how AI-generated images exert power with regards to the meaning-making choices that are afforded by Open AI’s software for generating visuals: Dall-E3. Using prompts to generate images of teenagers as a case in point, the results revealed that the “the canonical repertoire” of generative AI imagery constitutes four main semiotic principles, which are critically explored and discussed: Authenticating Contextualization, Conformist Diversity, Innovative Surrealization, and Promotional Positivity.

Place, publisher, year, edition, pages
Sage Publications, 2025. Vol. 36, no 4, p. 575-598
Keywords [en]
AI images, digital technologies, diversity, generative AI, multimodal critical discourse analysis, multimodality, promotional culture, semiotic technology, teens
National Category
Languages and Literature
Research subject
Swedish Language
Identifiers
URN: urn:nbn:se:oru:diva-115949DOI: 10.1177/09579265241274788ISI: 001313943100001Scopus ID: 2-s2.0-85204040970OAI: oai:DiVA.org:oru-115949DiVA, id: diva2:1897231
Available from: 2024-09-12 Created: 2024-09-12 Last updated: 2026-01-08Bibliographically approved

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The generic uniqueness of AI imagery: A critical approach to Dall-E as semiotic technology(3179 kB)457 downloads
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Westberg, Gustav

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Citation style
  • apa
  • ieee
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More styles
Language
  • de-DE
  • en-GB
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf