Since the seminal works of Condorcet and Borda, social choice theory has explored how to aggregate individual preferences into collective decisions. Yet, social choice theory has focused primarily on identifying winners in elections involving few candidates, leaving questions about direct participation on multiple issues relatively unexplored. Here we analyze data collected in a direct participation experiment where people built their own government programs using 120 proposals from the candidates of the 2022 French presidential. We find that in this setting it is useful to introduce a measure of "divisiveness," which can be constructed for any voting rule, is orthogonal to them, and helps identify polarizing proposals. We show that divisiveness captures fragmentation across multiple dimensions (sex, age, political orientation, and urban-rural divide) and explore some of its axiomatic properties. These results suggest divisiveness is a relevant aggregate in direct forms of participation.
翻译:自Condorcet和Borda的开创性著作以来,社会选择理论探索了如何将个人偏好集中到集体决策中。然而,社会选择理论主要侧重于在涉及少数候选人的选举中确定获胜者,留下关于直接参与多个问题相对没有探讨的问题。我们在这里分析了在直接参与实验中收集的数据,即人们利用2022年法国总统候选人的120个提案制定自己的政府方案。我们发现,在这种背景下,引入一种“分裂性”的衡量标准是非常有用的,可以根据任何投票规则来构建,对他们来说是正统的,有助于确定两极分化的建议。我们表明,分裂性可以跨越多个层面(性别、年龄、政治取向和城乡分化),并探索其一些不相干的特点。这些结果表明,分裂性是直接参与形式的相关综合。