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在Instagram和X (以前的Twitter) 上进行死产演讲:内容分析分析

Abigail Paradise Vit¹, Daniel Fraidin¹, Yaniv S Ovadia²

¹Information Systems, The Max Stern Yezreel Valley College, D.N. Emek Yezreel, Kibbutz Jezreel, Emek Yezreel, 1930600, Israel, +972 509903930.

JMIR infodemiology

|September 26, 2025

概括

这项研究分析了社交媒体上关于死胎的讨论,发现Instagram专注于情绪表达,X关注公共卫生信息. 基于证据的沟通对于打击错误信息和支持悲伤的父母至关重要.

科学领域:

计算社会科学计算社会科学
公共卫生传播公共卫生传播
数字健康数字健康

背景情况:

死产影响了美国每160名分娩中的1名和全球每70名分娩中的1名,造成了父母深深的悲伤和心理痛苦.
社会耻辱和缺乏意识加剧了死产对受影响家庭的影响.
之前没有任何全面的分析探讨过围绕死产的社交媒体话语.

研究的目的:

使用计算方法分析Instagram和X (以前的Twitter) 上与死产相关的内容.
为了识别主导主题,有影响力的标签,情绪,情绪,视觉表示和错误信息.
了解与死产相关的特定平台的沟通模式.

主要方法:

从Instagram和X.收集了27395条与死产相关的帖子.
采用主题建模 (LDA,NMF,BERTopic),网络分析,情感分析 (RoBERTa) 和手动图像分析.
选了X帖子的医学错误信息,特别是关于COVID-19疫苗.

主要成果:

非负矩阵分解 (NMF) 确定了具有高一致性得分的关键主题.
分析的推特中有27.8%将COVID-19疫苗与死胎联系在一起,这表明有重大医学错误信息.
Instagram的内容包括记忆视觉和基于文本的帖子,而X显示了更多与健康相关的标签;积极的情绪和恐惧/悲伤情绪普遍存在.

结论:

Instagram促进了情感表达和纪念,而X则是公共卫生信息的平台.
基于证据的沟通对于抵消基于恐惧的叙述和对X的错误信息至关重要.
特定平台的策略和内容调节可以提高健康话语的可信度,并支持悲伤的父母.

关键词:

在Instagram上使用Instagram.X (以前的推特)情绪分析情绪分析情绪分析错误的信息错误的信息一个死产的死产.主题建模主题建模

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