Manipulation and Peer Mechanisms: A Survey
arXiv:2210.01984v313 citationsh-index: 71
Originality Synthesis-oriented
AI Analysis
It addresses manipulation risks in peer-based systems like awards or grades, but is incremental as a survey.
The paper surveys methods to prevent manipulation in peer mechanisms, where competitors influence prize allocation, and identifies key research challenges.
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.