Measuring and Controlling Divisiveness in Rank Aggregation - Archive ouverte HAL Access content directly
Conference Papers Year : 2023

Measuring and Controlling Divisiveness in Rank Aggregation


In rank aggregation, members of a population rank issues to decide which are collectively preferred. We focus instead on identifying divisive issues that express disagreements among the preferences of individuals. We analyse the properties of our divisiveness measures and their relation to existing notions of polarisation. We also study their robustness under incomplete preferences and algorithms for control and manipulation of divisiveness. Our results advance our understanding of how to quantify disagreements in collective decision-making.
Fichier principal
Vignette du fichier
0291.pdf (345.87 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-04301819 , version 1 (23-11-2023)



Rachael Colley, Umberto Grandi, César A. Hidalgo, Mariana Gomes da Motta Macedo, Carlos Navarrete Lizama. Measuring and Controlling Divisiveness in Rank Aggregation. 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Aug 2023, Macau, China. pp.2616-2623, ⟨10.24963/ijcai.2023/291⟩. ⟨hal-04301819⟩
91 View
12 Download



Gmail Facebook X LinkedIn More