Colley, R. , Grandi, U., Hidalgo, C., Macedo, M. and Navarrete, C. (2023) Measuring and Controlling Divisiveness in Rank Aggregation. In: Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023, pp. 2616-2623. ISBN 978195679-034 (doi: 10.24963/ijcai.2023/291)
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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.
| Item Type: | Conference Proceedings |
|---|---|
| Additional Information: | Rachael Colley and Umberto Grandi acknowledge the support of the ANR JCJC project SCONE (ANR 18-CE23-0009-01). This work was conducted while Umberto Grandi was on leave at CNRS. Cesar Hidalgo, Mariana Macedo, and Carlos Navarrete were supported by the Artificial and Natural Intelligence Toulouse Institute (ANITI) - Institut 3iA: ANR-19-PI3A-0004. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Colley, Dr Rachael |
| Authors: | Colley, R., Grandi, U., Hidalgo, C., Macedo, M., and Navarrete, C. |
| College/School: | College of Science and Engineering > School of Computing Science |
| ISBN: | 978195679-034 |
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