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用于识别推特用户之间的疫苗犹行为因素和技术的纵向分析:范围审查
Sulaiman Khan1, Md Rafiul Biswas1, Zubair Shah1
1College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Human vaccines & immunotherapeutics
|November 20, 2023
概括
在线社区显著影响疫苗接种态度. 本综述确定了影响疫苗行为因素,并分析了研究这些因素的方法,强调了需要更多的纵向研究.
科学领域:
- 公共卫生 公共卫生
- 社会科学 社会科学 社会科学
- 计算语言学 计算语言学
背景情况:
- 疫苗对于传染病控制至关重要.
- 个人在网上寻求有关疫苗的支持和信息.
- 在线同行互动可以改变公众对接种疫苗的情绪.
研究的目的:
- 识别随着时间的推移影响疫苗接种行为的社区和个人因素.
- 探索从Twitter数据中提取这些因素的技术.
- 解决疫苗行为研究中缺乏纵向研究的问题.
主要方法:
- 根据PRISMA-ScR指南进行范围审查.
- 在线存储库的系统搜索.
- 分析了705项相关研究中的28项相关研究.
主要成果:
- 确定了三个主要主题:影响态度的因素,社区动态和分析技术.
- 主要社区:反疫苗,支持疫苗,中立.
- 个别因素:错误信息,疫苗宣传活动,用户人口统计.
- 分析了推特情绪和情绪,以接受/拒绝疫苗.
- 技术:用于主题建模的SVM,LDA,BERT;用于社区检测的Louvain,NodeXL,Infomap.
结论:
- 这次审查是首次强调疫苗行为纵向研究的稀缺性.
- 确定了实施纵向行为分析系统的方法和实践约束.
- 建议未来的研究方向,用于在疫苗接种环境中准确分析人类行为.
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