Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37407
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dc.contributor.authorGalanos, Vasileiosen_UK
dc.contributor.authorJones, Bronwynen_UK
dc.date.accessioned2025-10-02T17:03:51Z-
dc.date.available2025-10-02T17:03:51Z-
dc.date.issued2024-12-01en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37407-
dc.description.abstractThis research report explores how the growing use of generative AI across society poses risks for journalism as an industry, an institution, a practice and a product; for the wider information commons to which it contributes; and ultimately for people and society. Qualitative insights from interviews and a survey with a range of experts suggest that GenAI is amplifying many pre-existing long-standing challenges (e.g. business model and disruption, problematic business practices, information disorder, trust destabilisation). There was a strong appetite for intervention to mitigate such risks (e.g. by demanding greater transparency from AI companies, developing new professional and public literacies, devising new standards and strengthening public policy responses and funding).en_UK
dc.language.isoenen_UK
dc.publisherZenodoen_UK
dc.relationGalanos V & Jones B (2024) <i>Generative AI & Journalism: Mapping the Risk Landscape. Research Report</i>. Department of Culture, Media and Sport. Zenodo. https://doi.org/10.5281/zenodo.14968183en_UK
dc.rightsThe Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately crediteden_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titleGenerative AI & Journalism: Mapping the Risk Landscape. Research Reporten_UK
dc.typeResearch Reporten_UK
dc.contributor.sponsorDepartment of Culture, Media and Sporten_UK
dc.identifier.doi10.5281/zenodo.14968183en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderUniversity of Stirlingen_UK
dc.author.emailvassilis.galanos@stir.ac.uken_UK
dc.citation.date01/12/2024en_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.identifier.wtid2180497en_UK
dc.contributor.orcid0000-0002-8363-4855en_UK
dcterms.dateAccepted2024-12-01en_UK
dc.date.filedepositdate2025-10-02en_UK
rioxxterms.typeTechnical Reporten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorGalanos, Vasileios|0000-0002-8363-4855en_UK
local.rioxx.authorJones, Bronwyn|en_UK
local.rioxx.projectProject ID unknown|University of Stirling|en_UK
local.rioxx.freetoreaddate2025-10-02en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2025-10-02|en_UK
local.rioxx.filenameBRAID Generative AI and Journalism Report 2024.pdfen_UK
local.rioxx.filecount1en_UK
Appears in Collections:Management, Work and Organisation Research Reports

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