研究如何理解小红书受众变化：因果归因与边界管理
Making Sense of Audience Change: Causal Attribution and Boundary Management on Xiaohongshu
AI 导读
一项 arXiv 研究分析小红书用户如何归因“世界杯相关受众涌入”带来的社区变化，通过对 8 个高热度帖子的 262 条评论进行主题编码与置换关联分析发现，在 70 条含明确归因与策略的评论中，归因与边界管理策略强关联（Cramer's V = .583）：算法归因多对应技术性边界管理，社会行为者归因则更多指向社会执行或规范教化。研究揭示了推荐驱动平台上受众重构如何产生治理后果。
正文 · 原文
Abstract:Recommendation-driven platforms can reshape not only what users see, but also who becomes visible and how community boundaries are negotiated. We examine Xiaohongshu discussions surrounding a perceived World Cup-related audience influx to understand how users attributed community change and how those explanations related to boundary-management strategies. We analyzed 262 comments from eight high-engagement threads using researcher-led thematic analysis, structured coding, and permutation-based association analysis. Users described personalization as both social separation and a boundary that could fail, interpreted platform growth through audience acquisition and commercialization, and contested whether gender should define community membership. Among 70 comments with explicit attributions and strategies, attribution and strategy were strongly associated (Cramer's V = .583): algorithmic attributions concentrated in technical boundary management, while social-actor attributions more often aligned with social enforcement or normative socialization. These findings connect causal sensemaking with boundary management and show how audience restructuring can create governance consequences on recommendation-driven platforms.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.38026 [cs.HC] |
| (or arXiv:2610.38026v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.38026 arXiv-issued DOI via DataCite |
Submission history
From: Kyrie Zhou [view email]
[v1]
Tue, 27 Oct 2026 22:23:53 UTC (1,048 KB)
来源：arXiv cs.AI · arxiv.org