Fact Checker Data Sources & Methodology

Transparency in Information Verification
Open Book Protocol

Data Sources & Methodology

Transparency in Information Verification

The Open Record is committed to providing accurate, unbiased fact-checking services. This page details exactly how we gather, process, and categorize information to help you make informed decisions.

🔍 Primary Data Sources

Google Fact Check Tools API

Our primary source for fact-checking data is Google’s Fact Check Tools API, which aggregates fact-checks from verified organizations worldwide.

What this includes:

  • Snopes.com – Independent fact-checking organization
  • PolitiFact.com – Pulitzer Prize-winning fact-checker
  • FactCheck.org – University of Pennsylvania project
  • AFP Fact Check – Agence France-Presse verification service
  • Full Fact – UK-based fact-checking charity
  • 100+ other verified fact-checking organizations globally

How it works: When you submit a claim, we search Google’s database of published fact-checks. If multiple fact-checkers have analyzed the same claim, we show all available results.

📊 Source Classification System

We categorize all sources into four transparent tiers to help you evaluate information quality:

🔍 Dedicated Fact-Checkers

Organizations whose primary mission is fact-checking and verification

Examples: Snopes, PolitiFact, FactCheck.org, AFP Fact Check, Full Fact, Lead Stories, Check Your Fact

Why we trust them: These organizations follow International Fact-Checking Network (IFCN) standards, have transparent methodologies, and focus exclusively on verification.

📰 Independent News Sources

Established news organizations with strong editorial independence and minimal political bias

Examples: Reuters, Associated Press (AP), BBC News, NPR, PBS NewsHour

Bias Classification: We use AllSides.com ratings to identify sources with “Center” or “Lean Left/Right” classifications that maintain strong factual accuracy.

🏛️ Government & Educational Sources

Official agencies and academic institutions with access to authoritative data

Government: CDC, FDA, NASA, EIA, WHO, CISA
Educational: Universities, research institutions, peer-reviewed studies

Important note: While these sources often have the most authoritative data, they may reflect institutional biases or policy agendas. We present them transparently so you can factor this into your evaluation.

⚠️ Politically Leaning Sources

Reputable news outlets with clear political orientations

Left-leaning: CNN, MSNBC, The Guardian, New York Times
Right-leaning: Fox News, New York Post, Wall Street Journal editorial content

Bias Classification: Based on AllSides.com ratings. We clearly label the political lean and recommend considering multiple perspectives.

⚖️ External Bias Assessment

To maintain objectivity, we do not make our own determinations about media bias. Instead, we rely on established, independent organizations:

AllSides.com Media Bias Ratings

AllSides.com provides our primary bias classifications. They use a combination of:

  • Editorial review by people across the political spectrum
  • Third-party academic research
  • Community feedback and challenges
  • Regular rating updates and reviews

When AllSides doesn’t have a rating: We classify sources manually using their published methodology and flag them as “pending external verification.”

🔄 How Our System Works

Step 1: Claim Analysis

When you submit text, our system extracts verifiable factual claims and searches for existing fact-checks.

Step 2: Database Search

We search Google’s Fact Check Tools API for published analyses of your claim. This happens in real-time.

Step 3: Source Categorization

All results are automatically sorted into our four-tier system based on source type and bias ratings.

Step 4: Transparent Display

We show you all available information with clear labeling of source reliability and potential bias.

🛡️ Quality Assurance

Real-time vs. Sample Data

We clearly label whether results come from:

  • 🔴 LIVE DATA: Real-time results from fact-checking APIs
  • 📊 DEMO DATA: Enhanced sample database (when no live fact-checks exist)

Status Determination

We use fact-checkers’ original language to determine claim status:

  • FALSE: “False,” “Not true,” “Incorrect,” “Misleading,” “No evidence”
  • MIXED: “Partially true,” “Missing context,” “Needs context”
  • TRUE: “True,” “Correct,” “Accurate”

⚠️ Limitations & Disclaimers

What We Can’t Do

  • Original fact-checking: We aggregate existing fact-checks, not create new ones
  • Complete coverage: New or uncommon claims may not have fact-checks available
  • Real-time updates: Fact-checks reflect information available when published
  • Opinion verification: We focus on factual claims, not subjective opinions

Important Notes

  • Fact-checkers can disagree – we show all available perspectives
  • Context matters – a claim true in one situation may be false in another
  • Information evolves – scientific understanding and facts can change over time
  • We recommend checking multiple sources for important decisions

🔗 External Dependencies

Our service relies on several external APIs and services:

  • Google Fact Check Tools API: Primary fact-checking data
  • AllSides.com: Media bias classifications
  • Plausible Analytics: Privacy-focused usage analytics

If any external service experiences issues, we clearly communicate the impact to users.

🔒 Privacy & Data Use

We follow an “Open Book Protocol” – complete transparency about data collection:

  • What we track: Usage patterns, claim search frequency, source clicks
  • What we don’t track: Personal information, claim content, browsing history
  • Data retention: 24 months maximum for usage analytics
  • Your control: Contact us anytime for data deletion

See our full Privacy Policy for details.

📧 Feedback & Suggestions

Help us improve!

Found a source that should be classified differently? Discovered a fact-check we missed? Have suggestions for our methodology?

Contact us: contact@theopenrecord.org

We review all feedback and update our classifications regularly.

🔄 Updates & Changes

This methodology page is updated whenever we:

  • Add new data sources or APIs
  • Change classification criteria
  • Update bias rating services
  • Modify our processing algorithms

All changes are logged with dates and explanations.

Last Updated: August 14, 2025

Version: 1.0

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