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Social Signal & Information Integrity / Information Quality

SUB-T03-039

Claim Confidence Scoring

Definition

Claim Confidence Scoring examines calibrating confidence to evidence quality, uncertainty and disagreement within the broader domain of the accuracy, evidential strength, traceability, confidence and correction lifecycle of claims and knowledge.

Why this matters

Claim Confidence Scoring can materially affect autonomy, safety, public trust, market integrity, community cohesion and institutional decisions. Poorly designed interventions can suppress legitimate speech, entrench bias or create false confidence.

Research questions

Under which conditions can calibrating confidence to evidence quality, uncertainty and disagreement be measured or improved reliably, and how do effects vary by platform, population, context and intervention?

Hypotheses

A transparent, context-aware approach combining provenance, behavioural evidence and accountable human review will improve calibration error and decision appropriateness more than single-score, content-only or opaque automated approaches.

Proposed methods

claim extraction; evidence retrieval; source-quality assessment; fact verification; calibration studies; knowledge-graph validation; correction propagation analysis; expert review; affected-user interviews; reproducibility testing; methods adapted specifically to Claim Confidence Scoring

Stakeholders and beneficiaries

journalists; researchers; libraries; educators; public agencies; platforms; publishers; fact-checkers; citizens