在社交媒体上使用大型语言模型检测和监控对HPV疫苗接种的担忧
Sunny Rai1,2, Melanie Kornides3,4, Jennifer Morgan3
1Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. sunnyrai@seas.upenn.edu.
Scientific reports
|June 21, 2024
概括
人类乳头瘤病毒 (HPV) 疫苗接种的担忧正在演变. 对社交媒体的分析揭示了人们对个人事的转变,并呼吁透明度,影响公共卫生运动.
科学领域:
- 公共卫生 公共卫生
- 社交媒体分析 社交媒体分析
- 疫苗学 疫苗学 疫苗学
背景情况:
- 对疫苗的犹加剧了HPV等可预防感染的健康风险.
- 追踪疫苗问题的传统方法在速度和规模上都有局限性.
- 社交媒体提供了一个动态的平台来监控关于疫苗的公共话语.
研究的目的:
- 开发和应用基于大型语言模型的方法来识别来自社交媒体的HPV疫苗接种问题.
- 分析HPV疫苗话语在2020年之前和之后的演变.
- 为公共卫生干预和运动提供见解.
主要方法:
- 使用极少监督的,用大型语言模型进行端到端的方法.
- 分析了2020年以后发布的653,000条与HPV相关的推文.
- 标志着主导的主题和随着时间的推移关注的转变.
主要成果:
- 2020年后的主导主题包括不良影响,个人事和疫苗授权.
- 观察到从2020年之前的话语转向个人疫苗伤害故事.
- 确定了对父母同意和疫苗接种政策透明度的需求日益增加.
结论:
- 该研究提出了一种有效的系统,用于检测和描述社交媒体对HPV疫苗接种的担忧.
- 调查结果突出了针对性干预和信息传递的必要性,以解决不断变化的公众关切.
- 该方法为公共卫生倡议和打击错误信息提供了有价值的实时见解.
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