用户通过挪用标签控制算法推荐，为女性群体构建安全空间。
Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)
- 女性用户故意误用标签（如#BabySupplementalFood），避开男性受众。
- 5800篇帖子与24名用户访谈显示，该策略有效降低不想要的曝光。
- 揭示算法时代用户如何自主掌控内容分发，适合关注平台权力的研究者。
算法在社交媒体个性化推荐中扮演核心角色，但也使内容创作者难以预测和管理受众范围。这一问题对希望维护安全空间的边缘群体尤为严峻。本研究探讨了小红书（rednote）平台上女性用户如何主动重用标签（如#Baby Supplemental Food），将它们用于与原意无关的内容。这些标签被刻意选自对目标男性受众无吸引力的主题，以规避其关注。通过混合方法分析5,800篇收集帖子及24位不同背景活跃用户的访谈，揭示了用户动机与反应。该实践表明，用户可在算法主导的权力结构中重新夺回内容传播的自主权，为算法中心化系统中的自我治理提供了新视角。
原文摘要 · Abstract (English)
Algorithms have played a central role in personalized recommendations on social media. However, they also present significant obstacles for content creators trying to predict and manage their audience reach. This issue is particularly challenging for marginalized groups seeking to maintain safe spaces. Our study explores how women on Xiaohongshu (rednote), a recommendation-driven social platform, proactively re-appropriate hashtags (e.g., #Baby Supplemental Food) by using them in posts unrelated to their literal meaning. The hashtags were strategically chosen from topics that would be uninteresting to the male audience they wanted to block. Through a mixed-methods approach, we analyzed the practice of hashtag re-appropriation based on 5,800 collected posts and interviewed 24 active users from diverse backgrounds to uncover users' motivations and reactions towards the re-appropriation. This practice highlights how users can reclaim agency over content distribution on recommendation-driven platforms, offering insights into self-governance within algorithmic-centered power structures.
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