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Conference Papers Year : 2023

Measuring and Controlling Divisiveness in Rank Aggregation

Abstract

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.
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Dates and versions

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

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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⟩
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