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NewsGuard

Trust and misinformation intelligence for advertising, platforms, and AI systems.

Available information varies by company and source.

Profile record updated:

Company facts

Official name
NewsGuard Technologies, Inc.
Entity type
COMPANY
Founded
2018
Headquarters
25 W. 52nd Street, 15th Floor, New York, NY 10019
Company size
50–200
Market role
Data Provider / Broker
Official website
newsguardtech.com

What NewsGuard does

NewsGuard operates a B2B data and software model built around proprietary, continuously updated credibility and misinformation intelligence. It creates value by researching and maintaining structured datasets on news source reliability, false claims, and influence operations, then distributing that intelligence through subscriptions, APIs, dashboards, and managed services. Customers use these signals to improve brand safety, content governance, reputation monitoring, and AI output quality.

Category differentiation

NewsGuard is not a news publisher, browser-only consumer product, or general-purpose ad verification vendor. It is a B2B provider of credibility and misinformation intelligence used in advertising, platform trust, and AI safety workflows.

Strategic context

AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.

NewsGuard is a private US information intelligence company that produces structured trust and misinformation datasets for enterprise customers. Its core products include news reliability ratings, false claim data feeds, a monitoring dashboard, advertising brand safety tools, AI safety data products, and managed misinformation monitoring services. The company sells primarily to advertisers, media platforms, AI developers, researchers, and enterprise communications or risk teams that need to assess source credibility, filter unsafe inventory, or detect false narratives. The business generates revenue through enterprise subscriptions, data licensing, API access, dashboard access, and managed monitoring services. In practice, NewsGuard monetises a proprietary analyst-led methodology: journalist-produced ratings and continuously updated misinformation data are packaged into software and data products that plug into ad tech, moderation, brand safety, and AI system workflows.

Company news briefing

Briefing updated:

NewsGuard has reinforced its AdTech presence through its integration with Teads, which utilises the company's ratings to refine contextual brand suitability frameworks. Building on its proprietary AI chatbot launch, NewsGuard continues to monitor evolving disinformation tactics, such as those identified during recent health outbreaks, while maintaining its tracking of over 3,000 AI-driven content farms. These developments solidify NewsGuard’s position as a critical verification layer for advertisers and AI vendors navigating global misinformation risks and emerging regulatory requirements like the EU AI Act.

Business model & monetisation

NewsGuard monetises mainly through enterprise subscription licensing of data assets and software access. Revenue comes from recurring licences for reliability ratings and false claim datasets, API and integration access for platform and AI use cases, SaaS dashboard subscriptions, and managed monitoring services for brands and communications teams. It also has evidence of institutional and government-related revenue via contract funding, complementing its core software and data licensing model.

Enterprise data licensing for reliability ratings and false claim feeds
Software Subscription
Dashboard access and monitoring software
Software Subscription
API and integration access for AI and platform workflows
Pay-per-Use
Managed misinformation monitoring and analyst services
Service Fee
Government or institutional contracts
Service Fee

Products & capabilities

No products with linked sources are available in this view.

Products & market categories

Recent recorded signals

Dates refer to the source publication. Older entries are historical context, not evidence of a new event.

  • AI Made Fake Content Cheap — Designers Must Fix Trust

    uxdesign.cc

    Large Language Models & Synthetic Content / Content Authenticity · Recorded impact score: 4/5

    This analysis argues that generative AI has collapsed the cost of producing plausible but false content, intensifying Brandolini’s 'bullshit asymmetry'—where refuting false claims takes far more effort than making them. Production can now be parallelized and nearly free (content farms, deepfakes), while verification remains human, slow, and error-prone. The article urges product designers to treat the problem as a design challenge: add friction at creation (rate limits, signed origin records, proof-of-personhood), surface verifiable provenance and model uncertainty inline, and adopt portable standards (Content Credentials / C2PA) so provenance travels with media. It also notes regulatory pressure (EU AI Act labeling provisions enforceable August 2026) and recommends prioritizing explainability and shared proof infrastructure to reduce the asymmetry’s damage to trust across feeds and ad-supported products.

    • Alberto Brandolini first expressed the asymmetry in 2013: refuting bullshit requires an order of magnitude more energy than producing it.
    • NewsGuard counted 3,006 AI content-farm sites across sixteen languages as of March 2026 (up from 2,089 the previous October) and reported growth of 300–500 new sites per month; one analyst reportedly built a functioning content farm for about $100.

Explore company relationships

Questions about NewsGuard

What is NewsGuard?

NewsGuard is a private B2B intelligence company that produces reliability ratings, false claim data, and monitoring tools for advertising, platform trust, and AI safety use cases.

Who uses NewsGuard?

Its customers include advertisers, agencies, digital platforms, AI developers, enterprise communications teams, researchers, broadcasters, and podcast or CTV platforms.

How does NewsGuard make money?

It makes money through enterprise subscriptions, data licensing, API access, dashboard subscriptions, managed monitoring services, and some institutional or government contracts.

Sources & coverage

This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.

21 publicly documented primary sources and citations linked across the market graph.

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