Knowledge Integrity

Definition

Knowledge Integrity examines maintaining consistency, traceability and correction across connected bodies of knowledge within the broader domain of the accuracy, evidential strength, traceability, confidence and correction lifecycle of claims and knowledge.

Why this matters

Knowledge Integrity 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 maintaining consistency, traceability and correction across connected bodies of knowledge 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 knowledge-graph consistency and update quality 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 Knowledge Integrity

Stakeholders and beneficiaries

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