发表机构
University of Ottawa（渥太华大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出推荐下限机制，通过为验证账户的政治帖子提供最低推荐保证，以缓解社交媒体算法触达不平等对民主政治影响力机会平等的损害。
AI 中文摘要
在民主国家中，通过言论影响政治结果的能力不仅取决于表达自我的权利，还取决于触达相关受众的机会。在本文中，我认为社交媒体平台上算法触达的不平等分配削弱了政治影响力机会平等（EOPI），而这是民主的核心理想。借鉴尼科·科洛德尼的研究，我主张当前的推荐算法通过将注意力集中在少数已被放大的发言者身上，同时系统性地边缘化其他人，从而创造并延续了非正式的不平等。为解决这一问题，我提出将推荐下限作为平衡政治言论的机制。为帮助用户实现有意义的参与，每个经过验证的账户每周将获得最多有限数量的政治帖子的最低推荐保证。尽管这一措施是推动数字公共领域更接近民主理想所需的结构性改革的一个组成部分，但它为减少网络政治影响力中的非正式不平等提供了一条可行的路径。
英文摘要
Within democracies, the capacity to influence political outcomes through speech depends not only on the right to express oneself, but also on the opportunity to reach relevant audiences. In this paper, I argue that the unequal distribution of algorithmic reach on social media platforms undermines equality of opportunity for political influence (EOPI), which is a central democratic ideal. Drawing on Niko Kolodny's work, I contend that current recommendation algorithms create and perpetuate informal inequalities by concentrating attention among a small minority of already-amplified speakers while systematically marginalizing others. To address this problem, I propose recommendation floors as a mechanism for equalizing political speech. To help users achieve meaningful participation, each verified account would receive guaranteed minimum recommendation for up to a limited number of political posts per week. Although this measure represents one component of the structural reforms needed to move the digital public sphere closer to democratic ideals, it offers a feasible pathway to reducing informal inequalities in political influence online.
CommentsPublished in Ethical Theory and Moral Practice
DOI：10.1007/s10677-026-10535-1
