Year: 2022
Type: preprint
Abstract: In this 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 $1+\frac{w-1}{w+1}(σ-1)$. 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 $w=2$.
Source: arXiv (Cornell University)
Authors: Auricchio, Gennaro, Ren, Zeyu, Wang, Zihe, Zhang, Jie
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4281262572