分析新冠疫苗后悔情绪在社交媒体中的表现与成因
Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
- 从海量视频评论中构建疫苗后悔情绪数据集，采用跨政治立场标注
- 疫苗后悔情绪不足2%，但主要集中在质疑疫苗的博主群体中
- 多数抱怨来自第一人称叙述，常关联接种后健康问题
关于新冠疫苗接种后的主观体验，尤其是‘疫苗买家后悔’现象，现有数据集存在显著空白。理解这种后悔情绪的普遍性与本质，对缓解疫苗犹豫、优化公共沟通至关重要。本文从大规模YouTube新闻语料中构建新数据集，聚焦疫苗后悔情绪，通过政治多元化的标注团队进行人工标注，以应对该话题的主观性和政治化特征。利用大语言模型（LLMs）识别表达疫苗后悔的帖子，分析其原因，并量化第一人称与第二人称叙述中该情绪的发生率。研究旨在：(1) 量化疫苗后悔的普遍性；(2) 识别常见原因；(3) 分析第一人称与旁观者经历的差异；(4) 评估不同LLM可能引入的偏差。结果显示，疫苗后悔在公开讨论中占比低于2%，但高度集中于疫苗质疑类博主社区，且主要通过第一人称叙述，援引接种后健康事件来表达。
原文摘要 · Abstract (English)
A significant gap exists in datasets regarding post-COVID-19 vaccination experiences, particularly ``vaccine buyer's remorse''. Understanding the prevalence and nature of vaccine regret, whether based on personal or vicarious experiences, is vital for addressing vaccine hesitancy and refining public health communication. In this paper, we curate a novel dataset from a large YouTube news corpus capturing COVID-19 vaccination experiences, and construct a benchmark subset focused on vaccine regret, annotated by a politically diverse panel to account for the subjective and often politicized nature of the topic. We utilize large language models (LLMs) to identify posts expressing vaccine regret, analyze the reasons behind this regret, and quantify its occurrence in both first and second-person accounts. This paper aims to (1) quantify the prevalence of vaccine regret; (2) identify common reasons for this sentiment; (3) analyze differences between first-person and vicarious experiences; and (4) assess potential biases introduced by different LLMs. We find that while vaccine buyer's remorse appears in only $<2\%$ of public discourse, it is disproportionately concentrated in vaccine-skeptic influencer communities and is predominantly expressed through first-person narratives citing adverse health events.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。