Uses of Generative AI in the Newsroom
Mapping Journalists’ Perceptions of Perils and Possibilities
Bibliographic Data
| ID | 12909308 |
|---|---|
| Authors | Hannes Cools (0000-0002-4626-1527, University of Amsterdam, corresponding author), Nicholas Diakopoulos (0000-0001-5005-6123, Northwestern University) |
| Year | 2024 |
| Volume | 20 |
| Issue | 3 |
| Pages | 878-896 |
| Publication date | 2024-08-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journalism Practice (JOURNAL) |
| Journal identifiers | ISSN: 1751-2786 • E-ISSN: 1751-2794 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/17512786.2024.2394558 |
| OpenAlex | W4401926094 |
| Language | EN |
| Citations received | 70 |
| References cited | 29 |
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
Citizen journalism · Generative grammar · Journalism · Media studies · Perception · Political science · Public relations · Sociology · Computational and Text Analysis Methods · Computer Science · Ethics and Social Impacts of AI · Psychology · Artificial Intelligence
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| Unique citing works | 70 |
|---|---|
| Citations per year | 35 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 68 |