Uses of Generative AI in the Newsroom: Mapping Journalists' Perceptions of Perils and Possibilities

Open Access
Authors
Publication date 2026
Journal Journalism Practice
Volume | Issue number 20 | 3
Pages (from-to) 878-896
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam School of Communication Research (ASCoR)
Abstract
This study delves into journalists' perspectives on the perils and possibilities of using generative AI-tools like ChatGPT, Bard, and DALL-E in the newsroom. Semi-structured interviews with journalists from The Netherlands, and Denmark, who self-identify as early adopters of generative AI-tools, were conducted. Results reveal 16 different specific uses of generative-AI tools across the news reporting process, mostly situated in the news production and distribution phase. The rationale for specific uses (or non-uses) of generative AI were grounded in journalistic intuitions and gut feeling. While journalists appreciate the advantages of these tools, such as improved efficiency and data handling capabilities, respondents also voice concerns about the potential for harm to journalism's accuracy and credibility, as well as ethical considerations like algorithmic bias. The study further emphasizes the necessity of providing journalists with sufficient education and algorithmic literacy in using generative AI tools, as well as the significance of ongoing monitoring and assessment to guarantee their ethical and responsible usage in journalism.
Document type Article
Language English
Published at https://doi.org/10.1080/17512786.2024.2394558
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Uses of Generative AI in the Newsroom (Final published version)
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