在Facebook上分析乳腺癌信息,使用基于神经网络的主题建模和英语和西班牙语内容的元数据分析:比较研究
Rasika Muralidharan1, Arthur D Soto-Vasquez2, María Montenegro3
1Luddy School of Informatics, Indiana University, Bloomington, United States.
Journal of medical Internet research
|October 15, 2025
概括
在Facebook上的乳腺癌信息在英语和西班牙语之间是相似的,但参与度不同. 领先的卫生当局可能在西班牙语方面存在较少,这可能会限制西班牙裔妇女获得关键信息的机会.
科学领域:
- 公共卫生 公共卫生
- 卫生沟通健康沟通
- 自然语言处理自然语言处理.
背景情况:
- 乳腺癌是全球女性的主要诊断,许多人寻求在线信息.
- 研究了英语乳腺癌信息质量,但对西班牙语内容的了解较少.
- 像Facebook这样的社交媒体平台是各种人群健康信息的重要来源.
研究的目的:
- 用自然语言处理 (NLP) 来分析和比较Facebook上的英语和西班牙语乳腺癌内容.
- 了解跨语言共享的乳腺癌信息的主题相似性和差异.
- 调查英语和西班牙语帖子之间用户参与度和内容来源的差异.
主要方法:
- 使用CrowdTangle API收集和处理了超过339,000个英语和西班牙语的Facebook帖子.
- 应用BERTopic建模和k-means集群,以在两种语言中确定关键主题.
- 分析了元数据,参与度指标 (喜欢,评论,分享) 和海报特征,以获得表现最佳的内容.
主要成果:
- 确定了40个英语的最佳主题和30个西班牙语的最佳主题,揭示了主题重叠 (例如,乳房检查,个人故事).
- 西班牙语内容独特地介绍了当地的事件和家庭乳房检查 (不再推).
- 参与度的显著差异:英语帖子有更多的喜欢/分享,西班牙语帖子有更多的评论. 来自非营利组织的顶级英语内容,来自地方政府/公司的顶级西班牙语内容.
结论:
- 虽然乳腺癌主题在Facebook上跨语言一致,但参与模式显示了文化差异.
- 领先的卫生当局在西班牙语社交媒体上的存在可能较弱.
- 这种差距可能会阻碍西班牙语社区获得重要的,准确的乳腺癌信息,这些社区可能面临更差的预后.
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