用公平代表性约束提升评论区多样性，兼顾质量与多元声音。
Representative Ranking for Deliberation in the Public Sphere
- 引入社会选择中的公正代表原则，约束评论排序。
- 强制代表可提升观点多样性，同时不牺牲用户参与度。
- 适合关注网络公共讨论公平性的平台设计者。
在线评论区本可促进非正式公共讨论，但频繁出现的恶意或低质交流常使其失效。为改善这一状况，平台越来越多采用算法排序来提升讨论质量，如使用礼貌性分类器或亲社会排序机制。然而，此类干预可能无意中降低合法观点的可见性，损害讨论的核心特征——多元观点的代表性。为此，本文引入社会选择理论中的公正代表（Justified Representation, JR）概念，将其作为评论排序的约束条件。实验表明，强制执行JR能显著提升观点多样性，同时仍与用户参与度或其他对话质量指标兼容，实现高质量与高代表性的平衡。
原文摘要 · Abstract (English)
Online comment sections, such as those on news sites or social media, have the potential to foster informal public deliberation, However, this potential is often undermined by the frequency of toxic or low-quality exchanges that occur in these settings. To combat this, platforms increasingly leverage algorithmic ranking to facilitate higher-quality discussions, e.g., by using civility classifiers or forms of prosocial ranking. Yet, these interventions may also inadvertently reduce the visibility of legitimate viewpoints, undermining another key aspect of deliberation: representation of diverse views. We seek to remedy this problem by introducing guarantees of representation into these methods. In particular, we adopt the notion of justified representation (JR) from the social choice literature and incorporate a JR constraint into the comment ranking setting. We find that enforcing JR leads to greater inclusion of diverse viewpoints while still being compatible with optimizing for user engagement or other measures of conversational quality.
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