Utilitarian Welfare and Representation Guarantees of Approval-Based Multiwinner Rules Martin Lackner Piotr Skowron TU Wien University of Warsaw Vienna, Austria Warsaw, Poland
[email protected] [email protected] Abstract To choose a suitable multiwinner voting rule is a hard and ambiguous task. Depending on the context, it varies widely what constitutes the choice of an “optimal” subset of alternatives. In this paper, we provide a quantitative analysis of multiwinner voting rules using methods from the theory of approximation algorithms—we estimate how well multiwinner rules approximate two extreme objectives: a representation criterion defined via the Approval Chamberlin–Courant rule and a utilitarian criterion defined via Multiwinner Approval Voting. With both theoretical and experimental methods, we classify multiwinner rules in terms of their quantitative alignment with these two opposing objectives. Our results provide fundamental information about the nature of multiwinner rules and, in particular, about the necessary tradeoffs when choosing such a rule. 1 Introduction A multiwinner rule is a voting method for selecting a fixed-size subset of alternatives, a so-called committee. More formally, it is a function that—given (i) a set of candidates, (ii) preferences of a population of voters over these candidates, and (iii) an integer k—returns a subset of exactly k candidates. Multiwinner rules are applicable to problems from and beyond the political arXiv:1801.01527v4 [cs.MA] 31 Aug 2020 domain, for instance for selecting a representative body such as a parliament or university senate [Chamberlin and Courant, 1983, Faliszewski et al., 2017], shortlisting candidates (e.g., in a competition) [Barbera` and Coelho, 2008], designing search engines [Dwork et al., 2001, Skowron et al., 2017], building recommender systems [Skowron et al., 2016], and as mechanisms for locating facilities [Feldman et al., 2016].