design-fact-checking-process

Design Fact-Checking Process

Build a rigorous, transparent, and reproducible fact-checking process that earns reader trust and meets professional standards.

Why This Is Best Practice

Adopted by: PolitiFact, FactCheck.org, Snopes, Full Fact (UK), Africa Check, and all IFCN-certified fact-checking organizations (90+ globally). Impact: IFCN signatories produce corrections that demonstrably reduce belief in false claims by 15–30% per experimental research (Nyhan & Reifler 2015); standardized processes reduce internal errors by 60%+ vs. ad-hoc verification. Why best: Fact-checking credibility depends entirely on process transparency; without a documented methodology, corrections lack authority.

Sources: IFCN Code of Principles (2016); Silverman "Verification Handbook" (2014); Poynter MediaWise curriculum; Graves "Deciding What's True" (2016).

Steps

1. Select the claim — identify a specific, verifiable, consequential claim. Prioritize: widely shared, made by influential figure, potentially harmful if false. Exclude: opinions, predictions, satire.

2. Record the claim verbatim — capture the exact wording, source, date, and context. Paraphrasing introduces distortion before verification begins.

3. Identify the claim type — categorize as: statistical/numerical, causal, historical, comparative, or definitional. Each type requires different verification approaches.

4. Trace the claim to its origin — follow the claim upstream to its original source. Most viral misinformation is a mutation of an older, sometimes legitimate, claim.

5. Find authoritative primary sources — for statistics: government datasets, peer-reviewed studies, official reports. For events: official records, contemporaneous documents, eyewitness accounts with documentation.

6. Consult subject-matter experts — identify experts with no stake in the outcome. Document their credentials and any potential conflicts of interest.

7. Apply the SIFT method — Stop, Investigate the source, Find better coverage, Trace claims to original context before concluding.

8. Reach the original claimant — contact the person or organization that made the claim. Request their evidence. Document all contact attempts and responses.

9. Apply a transparent rating scale — use a documented, publicly defined scale (True/False/Misleading/Unverifiable or equivalent). Apply the scale consistently across all checks.

10. Publish methodology with the verdict — explain what you checked, what you found, and why you reached your verdict. Link to all primary sources. Publish corrections prominently.

Rules

• Never rate a claim without contacting the claimant first.
• Publish the full methodology, not just the verdict.
• Issue corrections when new evidence changes the verdict; never silently delete.
• Disclose all funding sources and editorial independence from funders.

Common Mistakes

• Checking the wrong claim — verifying a literal restatement rather than the underlying implication the audience understood.
• Trusting secondary sources — news articles reporting on studies are frequently inaccurate; always read the primary source.
• Missing context — a technically true claim can be deeply misleading; evaluate the impression it creates, not just its literal accuracy.
• Inconsistent standards — applying stricter scrutiny to claims from one political side creates the appearance of bias even when findings are accurate.

When NOT to Use

• When the claim is clearly an opinion or prediction (not verifiable as true/false).
• When the claim has been definitively and recently fact-checked by a credible IFCN signatory (amplify instead of duplicate).
• When you lack access to the primary sources needed to verify the core claim.