Work

Measurement Integrity in Peer Prediction: A Peer Assessment Case Study

Year: 2023

Type: conference-paper

Abstract: We propose measurement integrity, a property related to ex post reward fairness, as a novel desideratum for peer prediction mechanisms in many natural applications. Like robustness against strategic reporting, the property that has been the primary focus of the peer prediction literature, measurement integrity is an important consideration for understanding the practical performance of peer prediction mechanisms.

Source: ACM Conference on Economics and Computation (EC)

DOI: 10.1145/3580507.3597744

Authors: Noah Burrell, Grant Schoenebeck

Institution: University of Michigan

Language: English

Topic: Game Theory and Voting Systems

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: bronze

Funders: National Science Foundation, Northwestern University

Award: AF:Small:Unifying Information Aggregation and Information Elicitation