Audit-of-Audits for the Web: Bayesian Meta-Evaluation that Yields Interval-Valued, Threshold-Aligned Fairness Claims (CCF A)
Published in The Web Conference (WWW) 2026, 2026
This paper presents a Bayesian meta-evaluation framework for auditing fairness claims on the web, yielding interval-valued, threshold-aligned fairness assessments for more robust and interpretable fairness guarantees.
Keywords: Web fairness, algorithmic auditing, Bayesian meta-evaluation, fairness claims, threshold alignment
Track: Web4Good Special Track
Recommended citation: Fan, G., Liu, D., Sabri, A.Q.M., & Pan, L. (2026). Audit-of-Audits for the Web: Bayesian Meta-Evaluation that Yields Interval-Valued, Threshold-Aligned Fairness Claims. In Proceedings of The Web Conference 2026 (WWW 2026).
