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从2017年到2022年检查与流感疫苗接种有关的负面情绪:对261,613条推特帖子进行了无监督的深度学习分析

Qin Xiang Ng^1,2, Dawn Yi Xin Lee³, Clara Xinyi Ng⁴

¹Health Services Research Unit, Singapore General Hospital, Singapore 169608, Singapore.

|June 28, 2023

概括

自2020年以来,关于流感疫苗接种的负面情绪,包括对政策和错误信息的批评,在Twitter上增加了. 公共卫生沟通必须解决人们对流感疫苗日益关注的问题.

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:

全球流感疫苗接种覆盖率仍然低于最佳水平,尽管疫苗的可用性,有效性和安全性.
越来越多的流感病例和严重程度需要了解疫苗接种障碍.
负面的公众情绪对实现适当的疫苗接种率构成重大挑战.

研究的目的:

用Twitter数据的深度学习分析对流感疫苗接种的负面情绪.
确定围绕流感疫苗的公共话语中的关键主题和时间趋势.
通过了解疫苗犹的来源,为公共卫生传播策略提供信息.

主要方法:

从2017年1月到2022年11月,深度学习分析了超过261,000条英语推特.
使用特定关键字和标签提取与流感疫苗接种相关的推文.
主题建模和定性主题分析,以确定负面情绪驱动因素.

主要成果:

两个主要主题出现了:对政府政策的批评和关于流感疫苗接种的错误信息.
显著大多数负面推特集中在被认为是疫苗强制或胁迫.
负面情绪的流行率从2020年开始增加,可能与COVID-19疫苗辩论有关.

结论:

错误的看法和错误的信息极大地影响了人们对流感疫苗接种的负面情绪.
公共卫生传播需要意识到并解决这些已识别的主题和趋势.
需要有针对性的战略来应对由政策批评和错误信息驱动的疫苗犹.

关键词:

流感流感是一种流感.犹犹的犹犹犹的犹流感流感流感流感流感机器学习是机器学习.负面的情绪是负面的情绪.疫苗疫苗疫苗疫苗

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