Verifying Proportionality in Temporal Voting

We study a model of temporal voting where there is a fixed time horizon, and at each round the voters report their preferences over the available candidates and a single candidate is selected. Prior work has adapted popular notions of justified representation as well as voting rules that provide strong representation guarantees from the multiwinner election setting to this model. In our work, we focus on the complexity of verifying whether a given outcome offers proportional representation. We show that in the temporal setting verification is strictly harder than in multiwinner voting, but identify natural special cases that enable efficient algorithms.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i13.33509
Citations
1
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
0.89

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article

Verifying Proportionality in Temporal Voting

Nicholas Teh, Edith Elkind, Jannik Peters, Svetlana Obraztsova
1 citations
Proceedings of the AAAI Conference on Artificial Intelligence
Internet Traffic Analysis and Secure E-voting
0.89
article

Verifying Proportionality in Temporal Voting

Nicholas Teh, Edith Elkind, Jannik Peters, Svetlana Obraztsova
article en
1 citations

Abstract

We study a model of temporal voting where there is a fixed time horizon, and at each round the voters report their preferences over the available candidates and a single candidate is selected. Prior work has adapted popular notions of justified representation as well as voting rules that provide strong representation guarantees from the multiwinner election setting to this model. In our work, we focus on the complexity of verifying whether a given outcome offers proportional representation. We show that in the temporal setting verification is strictly harder than in multiwinner voting, but identify natural special cases that enable efficient algorithms.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(13)
Northwestern University (US), National University of Singapore (SG), University of Oxford (GB), Carleton University (CA)
Alan Turing Institute, Ministry of Education, India, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 28%
Internet Traffic Analysis and Secure E-voting
0.89
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