Measuring and Controlling Divisiveness in Rank Aggregation

Colley, Rachael, Grandi, Umberto, Hidalgo, Cesar A., Macedo, Mariana and Navarrete, Carlos (2023) Measuring and Controlling Divisiveness in Rank Aggregation. In: IJCAI '23: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. IJCAI, Vienna, pp. 2616-2623. . ISBN 9781956792034

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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

Item Type:Book Section
Divisions:Corvinus Institute for Advanced Studies (CIAS)
Subjects:Information economy
Knowledge economy, innovation
ID Code:9842
Deposited By: MTMT SWORD
Deposited On:19 Apr 2024 11:23
Last Modified:19 Apr 2024 11:23

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