Temporal Fairness in Multiwinner Voting
Edith Elkind, Svetlana Obraztsova, Nicholas Teh

TL;DR
This paper introduces a unified framework for analyzing temporal fairness in multiwinner voting, addressing the challenges of repeated elections over time and connecting various existing approaches.
Contribution
It proposes a comprehensive framework that consolidates different models of temporal multiwinner voting and highlights future research directions.
Findings
Unified framework for temporal fairness in multiwinner voting
Connections established with existing models and approaches
Identification of gaps and opportunities for future research
Abstract
Multiwinner voting captures a wide variety of settings, from parliamentary elections in democratic systems to product placement in online shopping platforms. There is a large body of work dealing with axiomatic characterizations, computational complexity, and algorithmic analysis of multiwinner voting rules. Although many challenges remain, significant progress has been made in showing existence of fair and representative outcomes as well as efficient algorithmic solutions for many commonly studied settings. However, much of this work focuses on single-shot elections, even though in numerous real-world settings elections are held periodically and repeatedly. Hence, it is imperative to extend the study of multiwinner voting to temporal settings. Recently, there have been several efforts to address this challenge. However, these works are difficult to compare, as they model multi-period…
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Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Game Theory and Voting Systems
