mlsanityData to 7 Oct 2026

On Controlled Change: Generative AI's Impact on Professional Authority in Journalism

arXiv 2510.19792 ↗First posted 22 Oct 2025cs.CY cs.AIcited by 1

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Abstract (arXiv)

Using (generative) artificial intelligence tools and systems in journalism is expected to increase journalists' production rates, transform newsrooms' economic models, and further personalize the audience's news consumption practices. Since its release in 2022, OpenAI's ChatGPT and other large language models have raised the alarms inside news organizations, not only for bringing new challenges to news reporting and fact-checking but also for what these technologies would mean for journalists' professional authority in journalism. This paper examines how journalists in Dutch media manage the integration of AI technologies into their daily routines. Drawing from 13 interviews with editors, journalists, and innovation managers in different news outlets and media companies, we propose the concept of controlled change. as a heuristic to explain how journalists are proactively setting guidelines, experimenting with AI tools, and identifying their limitations and capabilities. Using professional authority as a theoretical framework, we argue that journalists anticipate and integrate AI technologies in a supervised manner and identify three primary mechanisms through which journalists manage this integration: (1) developing adaptive guidelines that align AI use with ethical codes, (2) experimenting with AI technologies to determine their necessity and fit, and (3) critically assessing the capabilities and limitations of AI systems.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 76 references that are in the map. First posted on arXiv 22 Oct 2025.

Builds on

9 of 76 references.

References · 9

  1. 2022Human heuristics for AI-generated language are flawedcited by 104
  2. 2020Generating Representative Headlines for News Storiescited by 39
  3. 2022Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methodscited by 27
  4. 2019Template-free Data-to-Text Generation of Finnish Sports Newscited by 9
  5. 2024Guiding the Way: A Comprehensive Examination of AI Guidelines in Global Mediacited by 6
  6. 2022CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generationcited by 5
  7. 2018Code-Switching Detection with Data-Augmented Acoustic and Language Modelscited by 2
  8. 2021A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effectcited by 2
  9. 2024The Impact of Knowledge Silos on Responsible AI Practices in Journalismcited by 2

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Citing papers per year: 2026: 1.

1 paper.