基于系统文献审查和文本建模的抗疫论点的分类
Angelo Fasce1, Philipp Schmid2,3, Dawn L Holford4,5
1Faculty of Medicine, University of Coimbra, Coimbra, Portugal. afc@fmed.uc.pt.
Nature human behaviour
|July 17, 2023
概括
了解反疫苗辩论的心理根源是有效的公共卫生沟通的关键. 这项研究确定了导致疫苗犹的11种态度根源,为有针对性的干预提供了一个框架.
科学领域:
- 心理学 心理学 心理学
- 公共卫生 公共卫生
- 沟通研究 沟通研究
背景情况:
- 反疫苗接种论点对免疫计划的成功构成重大威胁.
- 仅仅针对反疫苗辩论中的逻辑缺陷是不足以有效反驳的.
研究的目的:
- 制定一个层次分类,将常见的反疫苗接种论点与其潜在的心理态度根源联系起来.
- 为了解和解决疫苗犹提供一个理论框架.
主要方法:
- 一个预先注册的152篇科学文章的系统文献综述.
- 对抗疫苗接种的论点进行主题分析.
- 使用人类编码和机器学习 (自然语言处理) 对COVID-19错误信息的验证.
主要成果:
- 一个层次的分类学被开发出来,将共同的论点连接到11个不同的态度根.
- 该分类学是在2019年冠状病毒病 (COVID-19) 反疫苗错误信息上得到验证的.
- 该框架成功地将表达的反对疫苗与潜在的心理过程联系起来.
结论:
- 开发的分类学为了解反对疫苗的心理驱动因素提供了理论基础.
- 这一框架可以为制定有针对性的反驳和干预措施提供信息,以解决疫苗犹的问题.
- 未来的研究可以利用这种分类学来改善关于疫苗接种的公共卫生沟通策略.
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