Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33795
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMalik, Sarita-
dc.contributor.authorKhorana, Sukhmani-
dc.contributor.authorDreher, Tanja-
dc.date.accessioned2026-08-31T07:45:39Z-
dc.date.available2026-08-31T07:45:39Z-
dc.date.issued2026-08-05-
dc.identifier.citationMalik, S., Khorana, S. and Dreher, T. (2026) 'Governing Diversity through AI: DEI and Procedural Trust in Public Service Media', International Journal of Cultural Studies, 0(ahead of print), pp. 1–22. doi: 10.1177/13678779261472.en_GB
dc.identifier.issn1367-8779-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33795-
dc.descriptionData availability statement: This study did not generate or analyse any datasets, as it is based entirely on conceptual and theoretical reasoning.en_GB
dc.description.abstractPublic service media are adopting artificial intelligence at a moment when diversity, equity and inclusion policies are increasingly politicised. Drawing on comparative qualitative research in the United Kingdom and Australia, this article examines how AI is embedded within Public Service Media governance and platformised audience infrastructures. We argue that AI operates not merely as a technical tool but as a cultural and institutional logic through which diversity, risk and legitimacy are reconfigured. In this shift, trust in diversity moves from relational practices grounded in representation and accountability toward procedural confidence embedded in automated systems, standards and compliance regimes. We conceptualise this transformation as the rise of <i>procedural trust</i>: a reorganisation of institutional legitimacy through technical infrastructures rather than social relations. Our thematic analysis shows how platform capitalism reshapes public service media by depoliticising diversity and redistributing responsibility across governance systems, with significant implications for democratic legitimacy.en_GB
dc.description.sponsorshipThe authors received no financial support for the research, authorship and/or publication of this article.en_GB
dc.format.extentpp. 1–22-
dc.format.mediumPrint-Electronic-
dc.languageEnglishen_GB
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.rightsRe-use licence for this version: CC BY-
dc.rightsLicence for published version: CC BY-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectdiversityen_GB
dc.subjectAIen_GB
dc.subjecttrusten_GB
dc.subjectUKen_GB
dc.subjectAustraliaen_GB
dc.subjectpublic service mediaen_GB
dc.subject.other15 Commerce, Management, Tourism and Services-
dc.subject.other19 Studies in Creative Arts and Writing-
dc.subject.other20 Language, Communication and Culture-
dc.subject.otherCommunication & Media Studies-
dc.titleGoverning Diversity through AI: DEI and Procedural Trust in Public Service Mediaen_GB
dc.typeArticleen_GB
dc.date.dateAccepted2026-07-11-
dc.identifier.doihttps://doi.org/10.1177/13678779261472-
dc.relation.isPartOfInternational Journal of Cultural Studiesen_GB
pubs.issue0-
pubs.publication-statusPublished-
pubs.volume00-
dc.identifier.eissn1460-356X-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2026-07-11-
dcterms.issued2026-08-05-
dc.date.updated2026-08-31T07:36:42Z-
dc.rights.holderThe Author(s)-
dc.contributor.orcidMalik, Sarita [0000-0002-0985-5246]-
dc.contributor.orcidDreher, Tanja [0000-0003-2403-1007]-
dc.identifier.number13678779261472509-
Appears in Collections:Department of Social and Political Sciences Research Papers *

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © The Author(s) 2026. Rights and permissions: Creative Commons License (CC BY 4.0) This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).405.11 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons