Of the People: Voting Is More Effective with Representative Candidates

In light of the classic impossibility results of Arrow and Gibbard and Satterthwaite regarding voting with ordinal rules, there has been recent interest in characterizing how well common voting rules approximate the social optimum. In order to quantify the quality of approximation, it is natural to consider the candidates and voters as embedded within a common metric space, and to ask how much further the chosen candidate is from the population as compared to the socially optimal one. We use this metric preference model to explore a fundamental and timely question: does the social welfare of a population improve when candidates are representative of the population? If so, then by how much, and how does the answer depend on the complexity of the metric space? We restrict attention to the most fundamental and common social choice setting: a population of voters, two independently drawn candidates, and a majority rule election. When candidates are not representative of the population, it is known that the candidate selected by the majority rule can be thrice as far from the population as the socially optimal one; this holds even when the underlying metric is a line. We examine how this ratio improves when candidates are drawn independently from the population of voters. Our results are two-fold: When the metric is a line, the ratio improves from 3 to 4-2 √2}, roughly 1.1716; this bound is tight. When the metric is arbitrary, we show a lower bound of 1.5 and a constant upper bound strictly better than 2 on the approximation ratio of the majority rule. The positive result depends in part on the assumption that candidates are independent and identically distributed. However, we show that independence alone is not enough to achieve the upper bound: even when candidates are drawn independently, if the population of candidates can be different from the voters, then an upper bound of 2 on the approximation is tight. Thus, we show a constant gap between representative and non-representative candidates.

[1]  Nicolas de Condorcet Essai Sur L'Application de L'Analyse a la Probabilite Des Decisions Rendues a la Pluralite Des Voix , 2009 .

[2]  Ariel D. Procaccia,et al.  Voting almost maximizes social welfare despite limited communication , 2010, Artif. Intell..

[3]  Fulvio Venturino A Unified Theory of Voting. Directional and Proximity Spatial Models , 2001 .

[4]  H. Moulin On strategy-proofness and single peakedness , 1980 .

[5]  Craig Boutilier,et al.  Optimal social choice functions: A utilitarian view , 2015, Artif. Intell..

[6]  Elliot Anshelevich,et al.  Randomized Social Choice Functions under Metric Preferences , 2015, IJCAI.

[7]  Hélène Landemore,et al.  Deliberation, cognitive diversity, and democratic inclusiveness: an epistemic argument for the random selection of representatives , 2013, Synthese.

[8]  A. Downs An Economic Theory of Political Action in a Democracy , 1957, Journal of Political Economy.

[9]  Elliot Anshelevich,et al.  Ordinal approximation in matching and social choice , 2016, SECO.

[10]  L. A. Goodman,et al.  Social Choice and Individual Values , 1951 .

[11]  Kamesh Munagala,et al.  Metric Distortion of Social Choice Rules: Lower Bounds and Fairness Properties , 2016, EC.

[12]  A. Gibbard Manipulation of Voting Schemes: A General Result , 1973 .

[13]  D. Black The theory of committees and elections , 1959 .

[14]  Elliot Anshelevich,et al.  Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information , 2016, AAAI.

[15]  Amos Fiat,et al.  On Voting and Facility Location , 2015, EC.

[16]  Faruk Gul,et al.  Generalized Median Voter Schemes and Committees , 1993 .

[17]  D. Black On the Rationale of Group Decision-making , 1948, Journal of Political Economy.

[18]  Ariel D. Procaccia,et al.  The Distortion of Cardinal Preferences in Voting , 2006, CIA.

[19]  M. Satterthwaite Strategy-proofness and Arrow's conditions: Existence and correspondence theorems for voting procedures and social welfare functions , 1975 .

[20]  Alexander A. Guerrero Against Elections: The Lottocratic Alternative , 2014 .

[21]  Vincent Conitzer,et al.  Handbook of Computational Social Choice , 2016 .

[22]  Brendan D. McKay,et al.  Collective Choice and Mutual Knowledge Structures , 1998, Adv. Complex Syst..

[23]  Craig Boutilier,et al.  Incomplete Information and Communication in Voting , 2016, Handbook of Computational Social Choice.

[24]  Ariel D. Procaccia Can Approximation Circumvent Gibbard-Satterthwaite? , 2010, AAAI.

[25]  Salvador Barberà,et al.  An introduction to strategy-proof social choice functions , 2001, Soc. Choice Welf..

[26]  Elliot Anshelevich,et al.  Approximating Optimal Social Choice under Metric Preferences , 2015, AAAI.