Generative Visual AI in News Organizations

Challenges, Opportunities, Perceptions, and Policies

Bibliographic Data

ID22010765
AuthorsTony Thomson (0000-0003-3913-3030, MIT University, corresponding author), Ryan J Thomas (0000-0001-5228-631X, Washington State University), Philip Matich (0000-0003-2015-3736, Queensland University of Technology), Phoebe Matich (Queensland University of Technology)
Year2025
Volume13
Issue10
Pages1693-1714
Publication date2025-11-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDigital Journalism (JOURNAL)
Journal identifiersISSN: 2167-0811 • E-ISSN: 2167-082X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21670811.2024.2331769
OpenAlexW4394571198
LanguageEN
Citations received37
References cited35

The use of AI-enabled text-to-image generators, such as Midjourney and DALL-E, raises profound questions about the purpose, meaning, and value of images generally, and the production, editing, and consumption of images in journalism specifically.This study explores how photo editors (or their equivalents) in seven countries perceive and/or use generative visual AI in their editorial operations and outlines the challenges and opportunities they see for the technology.It also identifies the extent to which these news organizations have policies governing how generative visual AI is used or, if not, the principles that they feel should inform their development.Participants identified mis/disinformation as the primary challenge of AI-generated images, also raising concerns about labor and copyright implications, the difficulty or impossibility of detecting AI-generated images, the potential for algorithmic bias, and the potential reputational risk of using AI-generated images.Conversely, participants saw potential for using AI for illustrations and brainstorming, while a minority saw it as an opportunity to increase efficiencies and cut costs

Generative grammar · Knowledge management · Perception · Political science · Public relations · Communication and COVID-19 Impact · Computer Science · Data Visualization and Analytics · Media Influence and Health · Psychology · Artificial Intelligence

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