What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain
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Abstract (arXiv)
We visualize aggregate outputs of popular multiwinner voting rules--SNTV, STV, Bloc, k-Borda, Monroe, Chamberlin--Courant, and HarmonicBorda--for elections generated according to the two-dimensional Euclidean model. We consider three applications of multiwinner voting, namely, parliamentary elections, portfolio/movie selection, and shortlisting, and use our results to understand which of our rules seem to be best suited for each application. In particular, we show that STV (one of the few nontrivial rules used in real high-stake elections) exhibits excellent performance, whereas the Bloc rule (also often used in practice) performs poorly.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jan 2019.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 1; 2025: 4; 2026: 1.
10 papers.
- 2023Proportional Aggregation of Preferences for Sequential Decision Makingcited by 17
- 2022Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learningcited by 5
- 2025Drawing a Map of Electionscited by 4
- 2025AI-Generated Compromises for Coalition Formationcited by 3
- 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functionscited by 2
- 2024Selecting the Most Conflicting Pair of Candidatescited by 1
- 2025Proportional Selection in Networkscited by 1
- 2026Large Language Models for Designing Participatory Budgeting Rulescited by 1
- 2022Private Multi-Winner Voting for Machine Learningcited by 0
- 2025AI-Generated Compromises for Coalition Formation: Modeling, Simulation, and a Textual Case Studycited by 0
- 2026Large Language Models for Designing Participatory Budgeting Rules10 Feb 2026
- 2025AI-Generated Compromises for Coalition Formation: Modeling, Simulation, and a Textual Case Study27 Nov 2025
- 2025AI-Generated Compromises for Coalition Formation7 Jun 2025
- 2025Drawing a Map of Elections4 Apr 2025
- 2025Proportional Selection in Networks5 Feb 2025
- 2024Selecting the Most Conflicting Pair of Candidates9 May 2024
- 2023Proportional Aggregation of Preferences for Sequential Decision Making26 Jun 2023
- 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions16 Jun 2023
- 2022Private Multi-Winner Voting for Machine Learning23 Nov 2022
- 2022Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning16 May 2022