分析美国的Reddit社交媒体内容与H5N1有关:情绪和主题建模研究
Oscar Pang1,2, Zahra Movahedi Nia1,3,4,5, Murray Gillies6
1Artificial Intelligence and Mathematical Modeling Lab, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
对H5N1禽流感疫情的社交媒体分析揭示了公众情绪的变化和关键问题,如杀和蛋价格. 了解这些反应可以指导及时的公共卫生干预.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 计算社会科学 计算社会科学
背景情况:
- H5N1禽流感对动物和人类健康构成重大流行病风险.
- 社交媒体监控提供了实时洞察,了解疫情期间公众的态度和行为.
- 雷迪特社区提供了各种各样的,针对特定地区的集体关注的数据.
研究的目的:
- 分析2022-2024年的Reddit评论,以评估H5N1疫情情的情绪.
- 确定主导的主题,特别是与负面情绪相关的主题.
- 探索公众情绪/主题与疫情严重程度/传播之间的相关性.
主要方法:
- 收集了来自11个州的2152条Reddit评论 (2022年2月至2024年7月).
- 使用基于BERT的模型进行情感分类 (愤怒,恐惧,快乐,爱情,悲伤,惊喜,中立).
- 用BERTopic和LDA进行主题建模;与美国农业部疫情数据相关联的情绪.
主要成果:
- H5N1疫情发生在离散的国家波浪中,明尼苏达州和爱荷华州经历了慢性暴露.
- 90%的言论是负面的;恐惧每周跟踪病例,而愤怒,悲伤和快乐在疫情爆发后的3周内激增.
- 调整为3周的滞后和异常值加强了情绪和流行病学联系 (r=0.223);主要主题包括杀,蛋价格和生物安全措施.
结论:
- 社交媒体分析对于了解公众对H5N1疫情的反应至关重要.
- 识别普遍的主题和情绪有助于指导有针对性的公共卫生干预.
- 实时监控可以预防错误信息和经济焦虑.
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