使用自然语言处理来描述2022年堕胎在线社区的使用:Reddit帖子的动态主题建模分析
Elizabeth Pleasants1,2, Ndola Prata3, Ushma D Upadhyay4
1School of Public Health, University of California, Berkeley, Berkeley, CA, United States.
JMIR infodemiology
|July 9, 2025
概括
在线堕胎社区显示,在多布斯决定之后,用户的兴趣发生了变化. 讨论从决策转向了自我管理的堕胎准入,强调了互联网在护理导航中的作用.
科学领域:
- 数字健康数字健康
- 公共卫生 公共卫生
- 卫生社会学 卫生社会学
背景情况:
- 美国堕胎的准入正在迅速变化后多布斯诉杰克逊妇女卫生组织的决定 (2022年6月).
- 在线社区对于寻求堕胎信息和支持的个人来说越来越重要.
- 了解在线资源的使用对于跟踪不断变化的堕胎经验至关重要.
研究的目的:
- 在2022年使用自然语言处理分析在线堕胎社区 (r/abortion) 的内容.
- 确定多布斯决定之前和之后的社区讨论中的转变.
主要方法:
- 主题建模适用于2022年从r/abortion到7273个职位.
- 文章分为三个时期进行分析:多布斯泄漏前,多布斯泄漏到决策,以及多布斯决策后.
- 主题被汇总成概念组,以跟踪用户兴趣的变化.
主要成果:
- 出现了八个概念组:决策,接入障碍,临床护理,药物堕胎,堕胎后经历,潜在怀孕和自我管理的堕胎.
- 导航进入障碍是最常见的主题.
- 关于决策的帖子减少了,而自主管理堕胎讨论在多布斯泄露和决定后显著增加.
结论:
- 像r/abortion这样的在线社区作为关键的堕胎支持资源.
- 这些社区的用户利益动态地反映了堕胎政策和获得堕胎的变化.
- 自然语言处理提供了一种及时的方法来监测各种堕胎经验,包括临床环境之外的堕胎经验.
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