A Contribution to the Critique of Liquid Democracy

Author:

Caragiannis Ioannis1,Micha Evi2

Affiliation:

1. University of Patras, Greece

2. University of Toronto, Canada

Abstract

Liquid democracy, which combines features of direct and representative democracy has been proposed as a modern practice for collective decision making. Its advocates support that by allowing voters to delegate their vote to more informed voters can result in better decisions. In an attempt to evaluate the validity of such claims, we study liquid democracy as a means to discover an underlying ground truth. We revisit a recent model by Kahng et al. [2018] and conclude with three negative results, criticizing an important assumption of their modeling, as well as liquid democracy more generally. In particular, we first identify cases where natural local mechanisms are much worse than either direct voting or the other extreme of full delegation to a common dictator. We then show that delegating to less informed voters may considerably increase the chance of discovering the ground truth. Finally, we show that deciding delegations that maximize the probability to find the ground truth is a computationally hard problem.

Publisher

International Joint Conferences on Artificial Intelligence Organization

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Contribution to the Defense of Liquid Democracy;Proceedings of the 24th Annual International Conference on Digital Government Research;2023-07-11

2. On the Impact of Vote Delegation;Mathematical Research for Blockchain Economy;2023

3. Liberal Demokrasinin Meşruiyet Krizine Bir Çözüm Önerisi Olarak Akışkan Demokrasi: Değeri ve Ulusal Ölçekte Uygulanabilirliği;Sakarya Üniversitesi Hukuk Fakültesi Dergisi;2022-11-27

4. Characterizing Properties and Trade-offs of Centralized Delegation Mechanisms in Liquid Democracy;2022 ACM Conference on Fairness, Accountability, and Transparency;2022-06-20

5. Group decision making under uncertain preferences: powered by AI, empowered by AI;Annals of the New York Academy of Sciences;2022-02-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3