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http://hdl.handle.net/1893/37407Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Galanos, Vasileios | en_UK |
| dc.contributor.author | Jones, Bronwyn | en_UK |
| dc.date.accessioned | 2025-10-02T17:03:51Z | - |
| dc.date.available | 2025-10-02T17:03:51Z | - |
| dc.date.issued | 2024-12-01 | en_UK |
| dc.identifier.uri | http://hdl.handle.net/1893/37407 | - |
| dc.description.abstract | This 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.iso | en | en_UK |
| dc.publisher | Zenodo | en_UK |
| dc.relation | Galanos 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.14968183 | en_UK |
| dc.rights | The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited | en_UK |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_UK |
| dc.title | Generative AI & Journalism: Mapping the Risk Landscape. Research Report | en_UK |
| dc.type | Research Report | en_UK |
| dc.contributor.sponsor | Department of Culture, Media and Sport | en_UK |
| dc.identifier.doi | 10.5281/zenodo.14968183 | en_UK |
| dc.citation.publicationstatus | Published | en_UK |
| dc.type.status | VoR - Version of Record | en_UK |
| dc.contributor.funder | University of Stirling | en_UK |
| dc.author.email | vassilis.galanos@stir.ac.uk | en_UK |
| dc.citation.date | 01/12/2024 | en_UK |
| dc.contributor.affiliation | University of Edinburgh | en_UK |
| dc.contributor.affiliation | University of Edinburgh | en_UK |
| dc.identifier.wtid | 2180497 | en_UK |
| dc.contributor.orcid | 0000-0002-8363-4855 | en_UK |
| dcterms.dateAccepted | 2024-12-01 | en_UK |
| dc.date.filedepositdate | 2025-10-02 | en_UK |
| rioxxterms.type | Technical Report | en_UK |
| rioxxterms.version | VoR | en_UK |
| local.rioxx.author | Galanos, Vasileios|0000-0002-8363-4855 | en_UK |
| local.rioxx.author | Jones, Bronwyn| | en_UK |
| local.rioxx.project | Project ID unknown|University of Stirling| | en_UK |
| local.rioxx.freetoreaddate | 2025-10-02 | en_UK |
| local.rioxx.licence | http://creativecommons.org/licenses/by/4.0/|2025-10-02| | en_UK |
| local.rioxx.filename | BRAID Generative AI and Journalism Report 2024.pdf | en_UK |
| local.rioxx.filecount | 1 | en_UK |
| Appears in Collections: | Management, Work and Organisation Research Reports | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| BRAID Generative AI and Journalism Report 2024.pdf | Fulltext - Published Version | 987.23 kB | Adobe PDF | View/Open |
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