研究发现，社交媒体信息流会改变用户写作语言，且不同内容流影响各异。
Algorithmic Cultivation: How Social Media Feeds Shape User Language
- 基于长期数据对比用户语言变化，分析算法推荐对表达方式的影响。
- 黑科技流使语言认知与情感表达深度重构，新闻和科学流则侧重内容主题。
- 转发是语言趋同的关键因素，不同操作行为对语言影响差异超四倍。
算法推荐已成为人们获取信息的主要在线环境，但其对用户写作方式的长期影响尚不明确。本文基于传播学中的培育理论，利用来自Bluesky平台的2350万条帖子、400万用户的大型纵向数据集，开展准实验研究：将368,513名接触过新闻、科学或Blacksky信息流的用户，与201万未接触任何此类流的活跃对照组进行匹配。研究从词汇语义、心理语言学和话题三个维度分析语言演化。结果显示，暴露于信息流的用户在风格适应性、语义一致性及文体正式化方面显著高于对照组。不同信息流效果差异明显：Blacksky引发最深的心理语言重构，表现为认知处理、情感表达和代词使用显著变化；而新闻与科学流主要影响文体和话题聚焦。回归模型显示，转发是跨所有信息流中语言趋同最一致的预测因子，而发帖与收藏行为的影响具有流依赖性，各流间效应差异超过四倍。研究将培育理论拓展至语言行为层面，证明信息流作为持续的语言环境，逐渐塑造了用户的在线书写方式，对理解算法影响、网络身份建构及平台设计治理具有重要意义。
原文摘要 · Abstract (English)
Algorithmic feeds have become primary environments for encountering information online, yet while they shape what people see, less is known about how sustained feed exposure shapes how people write. Drawing on Cultivation Theory, we examine whether algorithmic feeds function as online environments that leave measurable traces in users' language. We leverage a large-scale longitudinal dataset of 235M posts by 4M users on Bluesky, and conduct a quasi-experimental study matching an initial pool of 368,513 users exposed to one of three feeds -- News, Science, and Blacksky -- with a pool of 2,001,915 active control users who did not engage with any of these feeds. We examine linguistic evolution across three dimensions: lexico-semantics, psycholinguistics, and topics. We find that users exposed to these feeds show significantly greater stylistic accommodation, semantic alignment, and register formalization than matched controls. These effects vary markedly by feed identity -- Blacksky produces the deepest psycholinguistic restructuring, with significant shifts in cognitive processing, affective expression, and pronoun use, while News and Science effects are largely confined to register and topical focus. Regression models reveal that reposting is the most consistent predictor of linguistic convergence across all feeds, whereas posting and bookmarking show feed-dependent effects, with effects differing more than fourfold across feeds. Our work extends Cultivation Theory beyond belief formation to linguistic behavior, demonstrating that feeds function as persistent linguistic environments that gradually shape what and how users write online. Our work has implications for studying algorithmic influence, online identity formation, and the design and governance of feed-based platforms that mediate online interactions.
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