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On the Distortion of Multi-winner Election Using Single-Candidate Ballots

Gennaro Auricchio, Zeyu Ren, Zihe Wang, Jie Zhang

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

paper, we study the distortion bounds for voting mechanisms in multi-winner elections in general metric spaces. Our study pertains to the case in which each voter only reports her favorite candidate amongst m possible choices. Given that candidates’ locations are undisclosed to the mechanism, the mechanism has to form a w-winner committee based solely on the number of votes received by candidates. We establish distortion bounds for both truthful and non-truthful mechanisms. Our research highlights the significance of the σ parameter, which represents the ratio between maximum and minimum distances among all candidate pairs. We show that the distortion is linear in σ. First, we demonstrate that all mechanisms possess a distortion greater than 1+w-1w+1(σ-1). To give an upper bound, we study the Single Non-Transferable Vote (SNTV) mechanism, whose distortion is at most 1+2σ. Second, we retrieve the upper bounds for strategyproof mechanisms. In particular, we infer an upper bound by examining the Random Sequential Dictator mechanism that achieves a distortion less than 1+4σ when w=2.

Original languageEnglish
Title of host publicationComputing and Combinatorics - 31st International Computing and Combinatorics Conference, COCOON 2025, Proceedings
EditorsFedor V. Fomin, Mingyu Xiao
Place of PublicationSingapore
PublisherSpringer, Singapore
Pages279-292
Number of pages14
ISBN (Print)9789819502141
DOIs
Publication statusPublished - 1 Aug 2025
Event31st International Computing and Combinatorics Conference, COCOON 2025 - Chengdu, China
Duration: 15 Aug 202517 Aug 2025

Publication series

NameLecture Notes in Computer Science
Volume15983 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31st International Computing and Combinatorics Conference, COCOON 2025
Country/TerritoryChina
CityChengdu
Period15/08/2517/08/25

Keywords

  • Distortion
  • Multi-winner
  • Voting mechanisms

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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