mlsanityData to 14 Oct 2026

Manipulation and Peer Mechanisms: A Survey

arXiv 2210.01984 ↗First posted 5 Oct 2022cs.AI cs.GT econ.GNcited by 1

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Abstract (arXiv)

In peer mechanisms, the competitors for a prize also determine who wins. Each competitor may be asked to rank, grade, or nominate peers for the prize. Since the prize can be valuable, such as financial aid, course grades, or an award at a conference, competitors may be tempted to manipulate the mechanism. We survey approaches to prevent or discourage the manipulation of peer mechanisms. We conclude our survey by identifying several important research challenges.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 26 of its 92 references that are in the map. First posted on arXiv 5 Oct 2022.

Builds on

26 of 92 references.

References · 26

  1. 2018Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratingscited by 28
  2. 2018On Strategyproof Conference Peer Reviewcited by 17
  3. 2020Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessmentcited by 14
  4. 2016Strategyproof Peer Selection using Randomization, Partitioning, and Apportionmentcited by 12
  5. 2013Tuned Models of Peer Assessment in MOOCscited by 10
  6. 2022Learning to Mitigate AI Collusion on Economic Platformscited by 10
  7. 2014The PeerRank Method for Peer Assessmentcited by 7
  8. 2020PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selectioncited by 6
  9. 2022Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertisecited by 6
  10. 2013Optimal Impartial Selectioncited by 4
  11. 2014A Near-Optimal Mechanism for Impartial Selectioncited by 4
  12. 2016How effective can simple ordinal peer grading be?cited by 3
14 more
  1. 2021Mechanism Design Powered by Social Interactionscited by 3
  2. 2018Incentive-Compatible Diffusioncited by 2
  3. 2018Removing Bias and Incentivizing Precision in Peer-gradingcited by 2
  4. 2019Impartial Selection with Additive Approximation Guaranteescited by 2
  5. 2020From Matching with Diversity Constraints to Matching with Regional Quotascited by 2
  6. 2020Incentive-Compatible Selection Mechanisms for Forestscited by 2
  7. 2021Impartial selection with prior informationcited by 2
  8. 2021Peer Selection with Noisy Assessmentscited by 2
  9. 2022Impartial Selection with Additive Guarantees via Iterated Deletioncited by 2
  10. 2018Friend-Based Rankingcited by 1
  11. 2019Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessmentcited by 1
  12. 2019Incentive-Compatible Classificationcited by 1
  13. 2021Incentive Compatible Mechanism for Influential Agent Selectioncited by 1
  14. 2022Better Peer Grading through Bayesian Inferencecited by 1

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Cited by year

Citing papers per year: 2024: 1.

1 paper.

  1. 2024Group Fairness in Peer Reviewcited by 5