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April 23, 2026Media International Australia2 citationsOpen Access

News audiences’ acceptance of generative artificial intelligence in journalism: a use case study across three domains

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TTT.J. ThomsonRTRyan J. ThomasHCHannes Cools

Key Points

  • The aim is to explore how news audiences accept generative AI in journalism based on their knowledge and experiences.
  • Conducted in-depth interviews with 60 participants from two countries.
  • Introduced 23 use cases of generative AI in journalism.
  • Evaluated participants' acceptance based on their reactions to the use cases.
  • Acceptance varied depending on the application of AI and its transparency.
  • Concerns arose regarding accuracy and ethical implications of AI use.
  • Knowledge of AI and direct experience shaped overall acceptance among participants.

Abstract

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.

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Cite This Study

Thomson et al. (2026) studied this question.

synapsesocial.com/papers/69e9b91385696592c86ec053https://doi.org/10.1177/1329878x261441933
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Also Consider

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