Evidence Credibility Assessment

Context Block

Page Type: Evidence System Layer
Function: Source Trust Evaluation Engine
Position: Between Classification and Scoring (parallel influence layer)
Role: Determines credibility weight of evidence sources

This layer does not evaluate content quality directly. It evaluates whether the source producing the evidence deserves trust within the system.

Core Objective

• Measure trustworthiness of evidence sources
• Distinguish authoritative vs non-authoritative sources
• Assign credibility weight for scoring adjustment
• Detect unreliable or low-trust sources
• Stabilize downstream evidence scoring and ranking

Credibility Evaluation Pipeline

1. Source Authority Analysis
Evaluates institutional, domain, or system-level authority of the source.

2. Historical Reliability Check
Assesses consistency and accuracy of past outputs from the same source.

3. Trust Signal Extraction
Detects explicit and implicit credibility signals (citations, verification patterns, references).

4. Reputation Modeling
Builds long-term trust score based on accumulated evidence history.

5. Credibility Score Output
Produces final credibility index used in scoring adjustment.

Credibility Dimensions

• Authority Level — institutional or domain power
• Reliability History — past accuracy consistency
• Transparency Score — traceability and openness
• Verification Density — presence of external validation

Final Output: Source Credibility Index (0–1)

Example Evaluation

Source A: Official Google documentation

• Authority: 0.98
• Reliability: 0.95
• Transparency: 0.97
• Verification: 0.96

Credibility Score: 0.96 → High Trust Source

Credibility Classes

• High Credibility — primary authoritative sources
• Medium Credibility — semi-reliable analytical sources
• Low Credibility — unverified or unstable sources

Integration in GEO Pipeline

• Evidence Scoring
• Evidence Ranking
• Evidence Validation
• Evidence Confidence Model

Evidence Credibility Assessment acts as a weighting modifier that influences scoring and ranking decisions across the evidence system.

Failure Modes

• Over-reliance on institutional authority ignoring actual accuracy
• Underestimating emerging but reliable sources
• Reputation lag causing outdated trust assumptions
• Misclassification of credibility signals

Structured Output Model

Each source produces:

• Source Credibility Index
• Authority Score
• Reliability Score
• Trust Signal Map
• Historical Consistency Profile

Relationship Block

Parent Layer: /evidence/
Upstream: Evidence Classification
Downstream: Evidence Scoring, Evidence Ranking
Connected Systems: Retrieval Engine, Ontology Layer, Knowledge Graph

Structured Summary

Evidence Credibility Assessment is the trust evaluation layer of the Evidence system. It determines how much weight a source deserves based on authority, reliability, and historical performance.

This layer ensures that system outputs are not only based on relevant evidence, but also on evidence from trustworthy and consistent sources.