A Research-Grade Fact-Check Dataset for the Open Web

Continuously updated from international fact-checking organizations. Structured, normalized, and secure โ€” built for researchers and organizations studying our informational environment.

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7+Sources
5Verdict Categories
DailyIngestion Cadence
CMEKEncrypted at Rest

About the Dataset

This dataset aggregates fact-check records published by leading international fact-checking organizations. Each record captures the original claim, the organization's verdict, a normalized verdict label, and publication metadata. New data is ingested daily through automated RSS feed parsing.

The dataset is designed for researchers studying misinformation patterns, claim lifecycles, cross-source verdict consistency, and the temporal dynamics of false information. Records reflect the judgments of the source organizations and are preserved as-is to support comparative and longitudinal analysis.

Coverage spans seven organizations across multiple geographies and languages, including English-language U.S. sources (PolitiFact, FactCheck.org, Snopes), a viral misinformation tracker (LeadStories), UK-based Full Fact, Africa Check covering sub-Saharan Africa, and AFP Fact Check with multilingual international reach.


Data Sources

Records are ingested daily from the RSS and Atom feeds of the following organizations.

PolitiFact

U.S. political fact-checking from the Poynter Institute. Rates claims on a six-point "Truth-O-Meter" scale ranging from True to Pants on Fire.

Snopes

One of the oldest fact-checking and rumor-debunking publications. Covers viral claims, urban legends, and political misinformation.

FactCheck.org

Nonpartisan U.S. political fact-checking operated by the Annenberg Public Policy Center at the University of Pennsylvania.

LeadStories

Focuses on viral misinformation trending on social media platforms. Uses a real-time trending story detection methodology.

Full Fact

UK-based independent fact-checking charity. Covers claims from politicians, media outlets, and public discourse in the United Kingdom.

Africa Check

Africa's first fact-checking organization, covering claims across sub-Saharan Africa in English, French, and Portuguese.

AFP Fact Check

Global fact-checking unit of Agence France-Presse. Covers claims in multiple languages across Europe, Asia, Africa, and the Americas.


Schema

Each record in the dataset corresponds to a single fact-check article. All content fields are nullable โ€” individual feeds may not populate every attribute.

FieldTypeDescription
titlestringHeadline or title of the fact-check article
claimstringThe specific claim being evaluated, when extractable from the feed
linkstringCanonical URL of the original fact-check article
verdict_rawstringOriginal verdict label as published by the source organization
verdict_normalizedenumStandardized verdict: true | false | misleading | unsupported | exaggerated
published_at_normalizedtimestampPublication datetime normalized to UTC ISO 8601
source.namestringName of the fact-checking organization
source.urlstringBase URL of the source organization
languagestringBCP-47 language code of the article (e.g., 'en', 'fr')
content_sha256stringSHA-256 hash of canonical content for deduplication across ingestion runs

Sample Record

A representative record as it appears in the dataset after normalization. Field values are drawn from a real AFP Fact Check article for illustrative purposes.

{
  "title": "No, WHO did not declare a 'global health emergency' over a new mpox strain in January 2026",
  "claim": "The WHO declared a global health emergency over a new mpox strain in January 2026.",
  "link": "https://factcheck.afp.com/doc.afp.com.36UE3JE",
  "verdict_raw": "False",
  "verdict_normalized": "false",
  "published_at_normalized": "2026-01-14T09:22:00Z",
  "source": {
    "name": "AFP Fact Check",
    "url": "https://factcheck.afp.com"
  },
  "language": "en",
  "content_sha256": "a3f9c2d1e4b8765432fedcba9876543210abcdef0123456789abcdef01234567"
}

Request Access

This dataset is available to academic researchers, journalists, and data scientists working on misinformation research, computational social science, or related fields. Access is granted on a case-by-case basis after a brief review of the intended use.

Please include the following in your request:

  • Your name and institutional affiliation, or independent researcher status
  • A brief description of your research project or intended use case
  • The approximate data volume you expect to query
  • Your preferred access method and any technical requirements or constraints
Send Access Request โ†’