Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37407
Appears in Collections:Management, Work and Organisation Research Reports
Title: Generative AI & Journalism: Mapping the Risk Landscape. Research Report
Author(s): Galanos, Vasileios
Jones, Bronwyn
Contact Email: vassilis.galanos@stir.ac.uk
Citation: 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
Issue Date: 1-Dec-2024
Date Deposited: 2-Oct-2025
Publisher: Zenodo
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).
Type: Research Report
URI: http://hdl.handle.net/1893/37407
DOI Link: 10.5281/zenodo.14968183
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
Affiliation: University of Edinburgh
University of Edinburgh
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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