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Source Reliability

Source reliability is contextual. NataPulse does not use a single universal ranking that makes every item from a source true or false.

The system can consider:

  • whether the source is primary or secondary;
  • account or publication verification;
  • historical and registry status;
  • domain authority;
  • direct access to the underlying fact;
  • independence from other cited sources;
  • consistency with structured evidence;
  • recency and correction history;
  • data completeness and technical validity.

Regulatory filings, official releases, and on-chain transactions are strong evidence that a document or action exists. They may still require interpretation and can be incomplete, amended, or misleading without context.

Publication tiers and access method can affect reliability. A respected publication can still publish an error, repeat one source, or use an incomplete headline.

Verification identifies an account, not the truth of every post. Corporate accounts, executives, analysts, anonymous users, and community posts play different roles.

NataPulse applies stricter gates to unreviewed or unverified social evidence, especially when it is the only support for a high-impact claim.

Structured data can be authoritative about an observed price or transaction while remaining silent about causation or intent.

A quantitative model is a derived analytical source. Its reliability depends on data quality, evaluation, current regime, and corroboration. It cannot confirm the cause of a market move.

Source badges and confidence help triage evidence. For material decisions, open the primary source, check timestamps and corrections, and identify whether several citations are genuinely independent.