{
  "schema": "vedokrok.public-item.v1",
  "release_id": "MHC-RPUB-20260920-75ad787a",
  "url": "/knowledge/weight-evidence-by-traceability-not-popularity",
  "id": "MHC-D-RESEARCH-0425",
  "version": "0.1.0",
  "title": "Weight evidence by traceability, not popularity",
  "summary": "Popularity is a retrieval signal, not a reliability model.",
  "kind": "heuristic",
  "body": "Give more weight to evidence with clear origin, methods, accountability and correction mechanisms. Reduce weight when origin is obscure, circular or synthetic. Keep contrary high-quality evidence visible even if fewer pages mention it. Use provenance as one dimension of source quality, not as a permanent authority score.",
  "limits": [
    "Institutional status is not immunity from error; strong provenance improves accountability and traceability, not infallibility."
  ],
  "topics": [
    "union-provenance-verification"
  ],
  "intents": [],
  "source_ids": [
    "RS-FF258DEA21EDA7AB"
  ],
  "evidence": [
    {
      "claim": "The 2026 framework recommends weighting verification evidence by traceable origin, source credibility and institutional accountability rather than treating all retrieved sources as equally reliable.",
      "source_id": "RS-FF258DEA21EDA7AB",
      "role": "supports",
      "note": "Credibility signals can themselves be imperfect and should not become a permanent whitelist that blocks contrary evidence.",
      "locator": "Provenance-Weighted Authenticity Verification framework"
    }
  ],
  "use_when": [
    "A verification workflow ranks sources mainly by frequency, search position or the number of pages agreeing."
  ],
  "avoid_when": [
    "Institutional status is not immunity from error; strong provenance improves accountability and traceability, not infallibility."
  ],
  "example": "Prefer an official specification and test result over fifty SEO pages repeating an undocumented configuration claim.",
  "check": "Source ranking can be explained through provenance and method rather than page count alone.",
  "sources": [
    {
      "id": "RS-FF258DEA21EDA7AB",
      "title": "The Original Sins of Algorithmic Authenticity Verification: Provenance Neglect and Model Collapse in AI-Mediated News and Information",
      "url": "https://www.tandfonline.com/doi/full/10.1080/08838151.2026.2691175"
    }
  ],
  "relations": [],
  "collections": [
    {
      "id": "RC-3F875FF96207B5CE",
      "title": "Trace where information came from before deciding whether to trust it",
      "url": "/collections/trace-where-information-came-from-before-deciding-whether-to-trust-it"
    }
  ]
}