Free-Riding in Multi-Issue Decisions

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Authors: Martin Lackner, Jan Maly, Oliviero Nardi
Cited by: 1

Abstract

Voting in multi-issue domains allows for compromise outcomes that satisfy all voters to some extent. Such fairness considerations, however, open the possibility of a special form of manipulation: free-riding. By untruthfully opposing a popular opinion in one issue, voters can receive increased consideration in other issues. We study under which conditions this is possible and show that even weak fairness considerations enable free-riding. Additionally, we study free-riding from a computational and experimental point of view. Our results show that free-riding in multi-issue domains is often possible, but comes at a non-negligible individual risk for voters. Thus, the allure of free-riding is smaller than one could intuitively assume.

Fields of Study & Subjects

Experimental Behavioral Economics Studies Game Theory and Voting Systems Auction Theory and Applications

Publication details

Journal / source
Journal of Artificial Intelligence Research
Publisher
AI Access Foundation
Volume
86
Publication date
29 July 2026
Language
EN