Diversity, Agreement, and Polarization in Elections

Piotr Faliszewski; Andrzej Kaczmarczyk; Krzysztof Sornat; Stanisław Szufa; Tomasz Wąs

IJCAI 2023poster13 citations

Diversity, Agreement, and Polarization in Elections

Piotr Faliszewski, Andrzej Kaczmarczyk, Krzysztof Sornat, Stanisław Szufa, Tomasz Wąs

Abstract

We consider the notions of agreement, diversity, and polarization in ordinal elections (that is, in elections where voters rank the candidates). While (computational) social choice offers good measures of agreement between the voters, such measures for the other two notions are lacking. We attempt to rectify this issue by designing appropriate measures, providing means of their (approximate) computation, and arguing that they, indeed, capture diversity and polarization well. In particular, we present "maps of preference orders" that highlight relations between the votes in a given election and which help in making arguments about their nature.

Game Theory and Economic Paradigms: GTEP: Computational social choice

BibTeX

@inproceedings{ijcai2023p299,
  title     = {Diversity, Agreement, and Polarization in Elections},
  author    = {Faliszewski, Piotr and Kaczmarczyk, Andrzej and Sornat, Krzysztof and Szufa, Stanisław and Wąs, Tomasz},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {2684--2692},
  year      = {2023},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2023/299},
  url       = {https://doi.org/10.24963/ijcai.2023/299},
}