Lackner, M., Maly, J., & Nardi, O. (2023). Free-Riding in Multi-Issue Decisions. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (pp. 2040–2048).
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. Additionally, we
study free-riding from a computational and experimental point of
view. Our results show that free-riding in multi-issue domains is
largely unavoidable, but comes at a non-negligible individual risk
for voters. Thus, the allure of free-riding is smaller than one could
intuitively assume.
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Project title:
Algorithms for Sustainable Group Decision Making: P 31890-N31 (FWF - Österr. Wissenschaftsfonds)
