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.
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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.
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.
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.
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.
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.
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.
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.
Why raw content ownership is no longer enough, and how smart publishers are turning proprietary data into high-value operational dependencies.
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 code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.
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.
Report by Mathias-Felipe de-Lima-Santos and Adeola Abdulateef Elega
One of the strategies and measurement toolsets for publishers to monetize “AI visibility”—the mentions and citations they receive inside LLM answers across platforms like ChatGPT, Gemini, and Claude. The core idea is that appearing in AI responses measurably boosts downstream site visits and engagement, mostly via later branded search, so publishers should treat that visibility as a sellable influence product.
This report explores the next stage in the evolution of AI Search. Using Similarweb's digital intelligence, it examines how the leading AI platforms are growing, how user behaviour is changing, where referral traffic is flowing, how brands are earning visibility, and how advertising is beginning to reshape AI experiences.
New research involving a cross-section of Mongolia's independent media landscape finds enthusiasm for AI as a tool to improve efficiency, sustainability and resilience against disinformation, but warns that limited skills, ethical approaches and resources are slowing its adoption.
For two centuries, information companies were paid for two things at once: originating what is true, and delivering it. AI has split the bundle and priced the halves at opposite extremes. Delivery is becoming a commodity. Origination is becoming the whole business.
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