Reading about AI in journalism — analyses, case studies, reports, and practical guides for editors, reporters, and local newsrooms. Software tools live on Tools for Journalism.
Generative AI search and AI overviews are transforming access to information and news, renewing concerns that readers will encounter a narrower range of topics and have less in common. We examine these concerns via a randomized field experiment with 37,561 readers at The Washington Post. Both groups searched the same archive, but treatment readers also received AI answers with article citations above conventional results. Measuring consumption across displayed answers and opened articles, we find that AI search expands the reach of widely read topics and increases overlap in readers' topic consumption.
One in five UK adults are now using AI tools such as ChatGPT to keep up to date with the latest news, according to Ofcom’s annual report on the nation’s news consumption habits.
A nationally representative survey of 6,961 citizens in Brazil, Denmark, Japan, the Netherlands, South Africa and the United States examined attitudes toward AI‑supported journalism and perceptions of news authenticity. Respondents evaluated preferred journalistic principles for AI use, their willingness to engage with AI‑generated news, and the perceived impact of AI on authenticity. The study found marked cross‑national differences: optimism about AI’s role was strongest in South Africa and Brazil, while Western nations showed greater skepticism and a tendency to ignore or avoid sharing AI‑produced stories. Within‑country variation was also high, with personal use of generative AI predicting more favorable views. Across all contexts, participants emphasized the indispensability of the human element—journalists’ character and values—for authentic news, highlighting persistent trust concerns despite divergent regional outlooks.
WikiSkill is a framework for self-improving LLM agents that turns their past executions into a persistent “wiki” of distilled patterns and then uses that wiki to iteratively evolve compact, filesystem-based skills (SKILL.md modules) under strict validation.
How a small newsroom can run internal apps on one always-on host, share them with staff laptops and phones on office Wi-Fi, and reach them with Tailscale in the field — without a cloud bill or opening the internet.
The article proposes Communication 4.0, a conceptual and practical tool for auditing hybrid, AI‑mediated communication chains. It treats any news story, message, or supplement as a semantic trajectory that passes through humans, organizations, AI systems, platforms, and rules, each with different roles and capacities.
Agent Seer is an automated pipeline that takes Model Context Protocol (MCP) tool specifications—function names, natural-language descriptions, and typed parameter schemas—and turns them into complete evaluation harnesses for tool-using LLM agents, without calling the actual tools or requiring hand-written benchmarks.
This study examines the adoption of artificial intelligence (AI) tools by journalists working for legacy media outlets in four of Cameroon’s 10 geopolitical regions. It builds on the premise that journalism practice is continually changing due to the advent of emerging technology.
The article ranks today’s top open coding LLMs and tells you which ones you can actually run locally on your hardware. The piece argues that “best model overall” is the wrong question. The real question is: which open coding model is best for your specific workflow and GPU or machine.
The report argues that the AI economy now clearly runs on high‑quality, real‑time content, and that this content is being taken at scale by increasingly sophisticated bots rather than licensed. Bots routinely bypass paywalls and cybersecurity by rotating IPs, spoofing user agents (including Googlebot), using headless browsers, and leaning heavily on residential proxy networks — the same infrastructure used in serious cyberattacks and information ops.
As artificial intelligence (AI) becomes increasingly embedded in journalistic practice, debates often frame it as either a disruptive force or a tool for efficiency. This study moves beyond this dichotomy by examining how journalists themselves interpret, negotiate, and position AI within journalism.
With human oversight increasingly under pressure, 20 media managers explain how they are reshaping their workflows and outputs in light of the rise of AI.
The AI Information Map is a research project of the Media and Journalism Research Center (MJRC) that investigates how artificial intelligence systems present news, public affairs and media sources to users.
IAB’s Measuring Visibility in the AI Era establishes the industry’s standardized set of measurement guidelines for tracking brand and publisher visibility in AI-powered discovery platforms to help organizations evaluate measurement approaches with confidence.
This study by Paulo Couraceiro and Pedro Caldeira Pais examines differences between ChatGPT, Gemini, and Google Search when queried in European Portuguese, using three prompts: (a) asking for the main news of the day, (b) the latest on a specific news event, and (c) using only a basic keyword for that event. Drawing on a content analysis, we analyzed 72 queries submitted by eight independent users.
This research presents the first comprehensive study of Artificial Intelligence (AI) integration within the Portuguese news media landscape, based on a mixed-methods design combining a systematic literature review, a nationwide survey, and focus groups.
This study investigated the impact of AI-driven automated publishing services (APSs) on the editorial character of news content disseminated via Facebook.
