triangulate

Fact-checking a claim involves classifying it as a FACT, OPINION, or PREDICTION to tailor the verification strategy. The system then searches 3+ independent sources in parallel, scores each by recency and independence, and generates a confidence score with bias warnings.

Assessing bias and confidence involves scoring multiple independent sources by their type, recency, and independence from each other. The evaluation produces a calculated confidence score and flags potential echo chambers, bias, or outdated information within the evidence.

The best way to corroborate information for due diligence is triangulating the claim across 3+ independent sources. This delivers a structured verdict that classifies the claim type, evaluates source independence, and provides transparent confidence metrics and bias warnings.

Yes, you can use source triangulation for evaluating predictions by classifying the claim as a PREDICTION to tailor the verification strategy. It searches 3+ independent sources in parallel to gather up-to-date evidence and scores the confidence of the outcome.

You need to cross-check claims with independent sources during journalism, research, or due-diligence scenarios where a claim requires corroboration. It is necessary when validating facts, assessing potential bias, and ensuring the evidence is up-to-date before reaching a final verdict.