Methodology For Claims That Are Not Binary
Most misinformation failures happen in the gray area. Verity's methodology is designed to capture partial truth, stale evidence, and uncertain framing instead of forcing binary outcomes.
1) NuanceNet Claim Decomposition
Compound statements are split into auditable sub-claims so teams can identify exactly which parts are supported, contradicted, or unresolved.
- Qualifier words and hedging language are captured as confidence modifiers.
- Sub-claim level results are retained instead of collapsed too early.
- Final narrative summaries preserve mixed outcomes for editors and reviewers.
2) TemporalTruth Freshness Validation
Evidence can be accurate but outdated. TemporalTruth checks publication dates, supersession signals, and policy recency to reduce stale-source errors.
- Outdated references are down-ranked when newer authoritative sources exist.
- Time-sensitive domains receive stronger temporal penalties by default.
- Result explanations call out where temporal drift changed confidence.
3) Evidence Weighting And Uncertainty
Model agreement alone is insufficient. The methodology combines source quality, contradiction pressure, and confidence spread before finalizing a verdict band.
- Contradictions are surfaced explicitly in the reasoning trail.
- Low agreement and low authority combinations are prevented from overstating confidence.
- Mixed and unverifiable labels are valid outcomes, not failure states.
Test The Methodology On Complex Claims
Use Verity on nuanced, multi-part statements and inspect how decomposition and temporal analysis change the final verdict.