语言变异让阴谋论在社交平台持续传播更久。
Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media
- 分析三年推特数据，发现语义变异越多，阴谋论存活时间越长。
- 心理语言学特征和角色-动作-目标结构的变异显著延长传播寿命。
- 识别出简化与同化两种主要变异模式，适合内容治理研究者参考。
本研究探讨语言变异如何影响阴谋论在社交媒体上的持久传播。基于三年期的推特（X）阴谋论相关帖子数据，结合计算语言学分析与生存模型，发现语义变异程度更高的阴谋论具有显著更长的生命周期。心理语言学特征的变异，包括代词、社会指涉词、认知过程词汇、风险与健康相关术语，均与更长的传播寿命相关。角色（Actor）、动作（Action）、目标（Target）三类结构的变异也与此正相关。定性分析识别出两种主导变异模式：语言层面与结构层面的简化与同化。研究结果深化了对语言变异如何促进网络阴谋论持续性的理解，并为长期内容治理策略提供启示。我们主张，内容审核应关注阴谋论的可变性，聚焦核心主张以应对潜在变体。
原文摘要 · Abstract (English)
This study investigates how language mutations affect the persistent diffusion of conspiracy theories on social media. Drawing on a three-year dataset of conspiracy-related posts from X, and applying computational linguistic analysis alongside survival modelling, we find that conspiracy claims with greater semantic mutations have substantially longer lifespans. Mutations in psycholinguistic properties, including pronouns, social reference words, cognitive process terms, risk- and health- related vocabularies, are associated with extended lifespans. Mutations in actor, action and target (AAT) categories are associated with longer lifespans as well. Qualitative analysis identifies two predominant mutation patterns: simplification and assimilation, at both linguistic and AAT structural levels. Taken together, the results advance our understanding of how language mutations contribute to conspiracy persistence online and shed lights on longitudinal content moderation strategies. We argue that content moderation should consider the mutability of conspiracy claims and focus on the core claims that can address their potential variations.
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