最响亮声音的智慧：对 Reddit 上生成式搜索的大规模审计
The Wisdom of the Loudest: A Large-Scale Audit of Generative Search on Reddit
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中文总结 AI 辅助
本研究通过大规模审计Reddit Answers，发现生成式搜索在检索和综合中偏向正式语言和置顶评论，削弱经验性声音，强调设计需兼顾来源、多元性与可读性。
中文摘要 AI 辅助
在线社区的价值不仅在于其提供的答案，还在于其中包含的多样化经验和观点。生成式搜索日益成为访问这些讨论的媒介，然而，关于哪些社区声音能在检索和综合过程中存留下来，我们知之甚少。我们使用来自20个寻求建议和支持的社区的10,000个查询对Reddit Answers进行了审计，每个查询重复三次，共生成30,000个答案，覆盖了1,468万条评论。我们发现，不同运行之间的差异主要由检索驱动，答案通常跨社区整合证据，并且选择过程强烈偏向于已经可见的置顶评论。正式和指令性的语言更有可能被呈现，而经验性的声音则不太可能在筛选中存留，并在综合过程中被进一步削弱，第一人称单数语言的使用急剧下降。这些发现表明，基于社区的生成式搜索并非中立的摘要，其设计不仅应考虑相关性和流畅性，还应考虑来源、多元性和可读性。
英文摘要
Online communities are valued not only for answers, but for the diversity of experiences and perspectives they contain. Generative search increasingly mediates access to this discourse, yet little is known about which community voices survive retrieval and synthesis. We audit Reddit Answers using 10,000 queries from 20 advice- and support-seeking communities, repeated three times to produce 30,000 answers over 14.68M comments. We find that differences across runs are driven primarily by retrieval, answers routinely combine evidence across communities, and selection strongly favors already-visible, top-level comments. Formal and directive language is more likely to be surfaced, while experiential voice is less likely to survive selection and is further weakened during synthesis, with first-person singular language declining sharply. These findings show that community-grounded generative search is not neutral summarization, and should be designed not only for relevance and fluency, but also for provenance, plurality, and legibility.
发表机构
- University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）
机构由 AI 辅助整理，请以论文原文为准。
