Agreement, Diversity, and Polarization Indices for Approval Elections
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 3393-3401.
https://doi.org/10.24963/ijcai.2026/377
Keywords
- Game Theory and Economic Paradigms: Computational social choice
Abstract
An index is a function that measures the extent to which an election has a particular feature. We seek indices that capture agreement, diversity, and polarization among voters in approval elections, normalized with respect to saturation. The latter means that if two elections differ by the fraction of candidates approved by an average voter, but otherwise are of similar nature, then they should have similar index values. We propose several indices, analyze their properties, and use them to derive a new map of approval elections, and compare various real-life elections from Pabulib, Preflib and other sources.
@inproceedings{ijcai2026p377,
title = {Agreement, Diversity, and Polarization Indices for Approval Elections},
author = {Faliszewski, Piotr and Mertlová, Jitka and Sornat, Krzysztof and Szufa, Stanisław and Wąs, Tomasz},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {3393--3401},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/377},
url = {https://doi.org/10.24963/ijcai.2026/377},
}
TY - CPAPER TI - Agreement, Diversity, and Polarization Indices for Approval Elections AU - Faliszewski, Piotr AU - Mertlová, Jitka AU - Sornat, Krzysztof AU - Szufa, Stanisław AU - Wąs, Tomasz T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 3393 EP - 3401 DO - 10.24963/ijcai.2026/377 UR - https://doi.org/10.24963/ijcai.2026/377 ER -Copied
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