Explore how news organizations are experimenting with AI, from newsroom tools and workflows to ethics guidelines and coverage.
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Meta strikes multiple AI deals with news publishers
Meta on Friday said it has struck several commercial AI data agreements with news publishers ranging from USA Today, People Inc., CNN, Fox News, The Daily Caller, Washington Examiner and Le Monde.
Axios
PubGen.AI
PubGen.AI is a modern, newsroom-first CMS that pairs fast, flexible web publishing with embedded, journalism‑tuned AI. Built to replace outdated, costly systems, it automates technical essentials—performance, SEO, device responsiveness, paywalls, and migrations—while grounding AI in a publication’s own archives to reduce hallucinations, surface context, and enforce citation and bias checks. Reporters use the assistant for pre‑interview research, “what’s missing” analysis, and language scrutiny; editors can run configurable workflows; publishers get options from fully automated homepage management to granular control.
management🇺🇸 · 39 initiatives
The rise of agentic journalism
A new form of journalism, "agentic journalism," is emerging, tailored to machine compilers of language and information, such as chatbots and AI summarizers. This type of journalism will prioritize user-relevant, novel, and machine-readable content over traditional article formats. Journalists will focus on providing accurate and machine-readable information, while editors will ensure the accuracy and machine-readability of the content. The rise of agentic journalism may lead to increased exposure to news content, but it also risks dehumanizing journalism and relinquishing editorial control to AI systems, potentially reducing the profession to data entry and making it dependent on big tech's metrics of visibility and success.
NiemanLab
AI Transcription and Translation in Journalism
The Center for News, Technology & Innovation's AI and Journalism Research Working Group examined 55 studies on AI transcription and translation in journalism. The research suggests that while AI tools can save time, human review is crucial for ensuring accuracy and identifying potential errors. Significant gaps remain for "low-resource" languages, and training data can produce biases in AI outputs. Journalists are actively using AI tools, but experience varying levels of difficulty and accuracy due to geography, resources, and other factors. The working group expects continued progress in building AI tools, but notes the importance of addressing existing challenges and improving training data to ensure accurate and reliable transcription and translation.
CNTI
What is Data? A Conceptual and Empirical Inquiry of the Facets of Data in News Organizations
Journalism studies focus on AI but overlook its foundation: data. This paper maps how data is embedded in news organizations using a Lasswellian lens — subjects, actors, spaces, constructions, and values — illustrated via a composite Patchwork News Outlet. It identifies varying data practices and offers five definitions of data, spanning social artifact, infrastructure, story resource, machine-readable input, and audience/editorial representations.
OSF
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audience engagement🇫🇮 · 3 initiatives
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