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Understanding the Impact of Proportionality in Approval-Based Multiwinner Elections

Published: November 12, 2025 | arXiv ID: 2511.09479v1

By: Niclas Boehmer, Lara Glessen, Jannik Peters

Potential Business Impact:

Helps pick fairer voting groups for elections.

Business Areas:
A/B Testing Data and Analytics

Despite extensive theoretical research on proportionality in approval-based multiwinner voting, its impact on which committees and candidates can be selected in practice remains poorly understood. We address this gap by (i) analyzing the computational complexity of several natural problems related to the behavior of proportionality axioms, and (ii) conducting an extensive experimental study on both real-world and synthetic elections. Our findings reveal substantial variation in the restrictiveness of proportionality across instances, including previously unobserved high levels of restrictiveness in some real-world cases. We also introduce and evaluate new measures for quantifying a candidate's importance for achieving proportional outcomes, which differ clearly from assessing candidate strength by approval score.

Country of Origin
πŸ‡ΈπŸ‡¬ Singapore

Page Count
38 pages

Category
Computer Science:
CS and Game Theory