News audiences’ acceptance of generative artificial intelligence in journalism: a use case study across three domains
News audiences’ acceptance of generative AI (GenAI) in journalism is shaped by their knowledge of (or direct experience with) what AI is, what it can do, and what implications its use has. Acknowledging this, the present study draws on the technology acceptance model to first explore what a sample of news audiences in two countries knows about GenAI and what their experiences, if any, with it have been to date. Next, it explores this sample's acceptance of use cases that demonstrate how AI is – or could be – used in journalism. It does this by using in-depth interviews with 60 participants to introduce or re-introduce 23 use cases to them and ask them how accepting they are of journalists using each. Acceptance depended on how AI was used, how transparent the use was, whether the use impacted accuracy, and whether legal and other ethical considerations were appropriately attended to.
Authors
- Michelle E. Riedlinger (ORCID: https://orcid.org/0000-0003-4402-4824)
- Edina Strikovic (ORCID: https://orcid.org/0000-0001-8377-5001)
- Ryan J. Thomas (ORCID: https://orcid.org/0000-0001-5228-631X)
- Hannes Cools (ORCID: https://orcid.org/0000-0002-4626-1527)
- Rachael Anderson
- T.J. Thomson
- Rebecca Venema (ORCID: https://orcid.org/0000-0002-6971-5587)
- Oscar Toohey
- Caroline Gardam (ORCID: https://orcid.org/0000-0001-9439-5215)
- Jean Burgess
Institutions
- Queensland University of Technology (AU)
- MIT University (MK)
- Washington State University (US)
- RMIT University (AU)
- University of Amsterdam (NL)
Publication Details
- Journal
- Media International Australia
- Published
- 2026-04-21
- DOI
- https://doi.org/10.1177/1329878x261441933
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Research Council