Research map / Learning theory and algorithms / Submodular and game algorithms
Understanding Over Participation in Simple Contests
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| contest versus equivalent non-competitive lottery with same odds and rewards | sequential simple contest (last contestant) · MTurk participation, should-not-participate cases | participation rate: 60% -> 48% (3 contestants, H) | No clear effect |
| contest versus equivalent lottery using empirical participation for win probability | parallel simple contest · MTurk participation, 5 contestants H | participation rate: 74% -> 62% | No clear effect |
| contest versus lottery with theoretical win probability | parallel simple contest · MTurk participation, 3 contestants L | participation rate: 52% -> 78% | Mixed |
| people in contest versus equilibrium prediction | parallel contest · MTurk participation, 3 contestants L | participation rate: 20% -> 52% | Helped |
| fewer contestants and higher theoretical threshold | sequential contest · MTurk participation | participation rate among those who should not | Mixed |
Closest papers by meaning
- Competition among Pairwise Lottery Contests (AAAI 2024 · similarity 0.87)
- Dueling over Dessert, Mastering the Art of Repeated Cake Cutting (NeurIPS 2024 · similarity 0.83)
- Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis (AAAI 2024 · similarity 0.83)
- Smooth Partial Lotteries for Stable Randomized Selection (NeurIPS 2026 · similarity 0.83)
- Causal Inference from Competing Treatments (ICML 2024 · similarity 0.82)
- Strategic Costs of Perceived Bias in Fair Selection (NeurIPS 2025 · similarity 0.82)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.