Communication, Distortion, and Randomness in Metric Voting
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Abstract (arXiv)
In distortion-based analysis of social choice rules over metric spaces, one assumes that all voters and candidates are jointly embedded in a common metric space. Voters rank candidates by non-decreasing distance. The mechanism, receiving only this ordinal (comparison) information, should select a candidate approximately minimizing the sum of distances from all voters. It is known that while the Copeland rule and related rules guarantee distortion at most 5, many other standard voting rules, such as Plurality, Veto, or k-approval, have distortion growing unboundedly in the number n of candidates. Plurality, Veto, or k-approval with small k require less communication from the voters than all deterministic social choice rules known to achieve constant distortion. This motivates our study of the tradeoff between the distortion and the amount of communication in deterministic social choice rules. We show that any one-round deterministic voting mechanism in which each voter communicates only the candidates she ranks in a given set of k positions must have distortion at least frac2n-kk; we give a mechanism achieving an upper bound of O(n/k), which matches the lower bound up to a constant. For more general communication-bounded voting mechanisms, in which each voter communicates b bits of information about her ranking, we show a slightly weaker lower bound of Omega(n/b) on the distortion. For randomized mechanisms, it is known that Random Dictatorship achieves expected distortion strictly smaller than 3, almost matching a lower bound of 3-frac2n for any randomized mechanism that only receives each voter's top choice. We close this gap, by giving a simple randomized social choice rule which only uses each voter's first choice, and achieves expected distortion 3-frac2n.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Nov 2019.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 0; 2025: 0; 2026: 1.
6 papers.
- 2022Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortioncited by 6
- 2021Surprisingly Popular Voting Recovers Rankings, Surprisingly!cited by 4
- 2021Fair and Efficient Resource Allocation with Partial Informationcited by 3
- 2023Best of Both Distortion Worldscited by 3
- 2023Breaking the Metric Voting Distortion Barriercited by 3
- 2026Improving Randomized Metric Distortion to 2.1441cited by 0
- 2026Improving Randomized Metric Distortion to 2.144129 Aug 2026
- 2023Breaking the Metric Voting Distortion Barrier30 Jun 2023
- 2023Best of Both Distortion Worlds30 May 2023
- 2022Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion14 Jun 2022
- 2021Fair and Efficient Resource Allocation with Partial Information20 May 2021
- 2021Surprisingly Popular Voting Recovers Rankings, Surprisingly!19 May 2021