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Research map / Learning theory and algorithms / Prediction and decision losses

HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets

AAAI 2020 · Learning theory and algorithms › Prediction and decision losses · approach: Adaptive testing and experiments · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
tell participants an impartial aggregation algorithm is used, via consequence explanationpeer ranking with conflict of interest · Study 1 review rankingrank improvement over control (beta): 1.2333Helped
use policing framing instead of no explanationpeer ranking with conflict of interest · Study 1 review rankingrank improvement over control (beta): 0.1083No clear effect
use responsibility externalization framing instead of no explanationpeer ranking with conflict of interest · Study 1 review rankingrank improvement over control (beta): 0.7333No clear effect
impartial aggregation (NAIVE-BIPARTITE) instead of Kemeny ruleHirePeer ranking · Study 2 AMT advice rankingaccuracy: 0.9665 -> 0.8884Hurt
use COMMITTEE impartial aggregation instead of Kemeny ruleHirePeer ranking · Study 2 AMT advice rankingaccuracy: 0.9665 -> 0.8044Hurt
use k-PARTITE impartial aggregation instead of Kemeny ruleHirePeer ranking · Study 2 AMT advice rankingaccuracy: 0.9665 -> 0.7831Hurt

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