$k$-Approval Veto: A Spectrum of Voting Rules Balancing Metric Distortion and Minority Protection
Fatih Erdem Kizilkaya, David Kempe

TL;DR
This paper analyzes the $k$-Approval Veto voting rules in single-winner elections, balancing social welfare and minority protection, and characterizes their trade-offs across different metric distortion objectives.
Contribution
It introduces a comprehensive analysis of $k$-Approval Veto rules, revealing their ability to trade off between minority protection and social welfare across multiple metrics.
Findings
$k$-Approval Veto achieves at least $k$-level minority protection.
Metric distortion for utilitarian objective increases linearly with $k$.
Egalitarian metric distortion remains constant at 3 for all $k$.
Abstract
In the context of single-winner ranked-choice elections between candidates, we explore the tradeoff between two competing goals in every democratic system: the majority principle (maximizing the social welfare) and the minority principle (safeguarding minority groups from overly bad outcomes).To measure the social welfare, we use the well-established framework of metric distortion subject to various objectives: utilitarian (i.e., total cost), -percentile (e.g., median cost for ), and egalitarian (i.e., max cost). To measure the protection of minorities, we introduce the -mutual minority criterion, which requires that if a sufficiently large (parametrized by ) coalition of voters ranks all candidates in lower than all other candidates, then none of the candidates in should win. The highest for which the criterion is satisfied…
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Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Judicial and Constitutional Studies · Legal Language and Interpretation
