Social Signal & Information Integrity / Information Quality
SUB-T03-039Claim 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