在西班牙测量,描述和绘制COVID-19错误信息:跨部门研究
Javier Alvarez-Galvez1,2, Carolina Lagares-Franco3, Esther Ortega-Martin1
1Computational Social Science DataLab (CS2 DataLab), University Institute for Sustainable Social Development (INDESS), University of Cadiz, Jerez de la Frontera (Cadiz), Spain.
JMIR infodemiology
|June 16, 2025
概括
关于COVID-19 (2019年冠状病毒病) 的错误信息普遍存在,易感性与性别,社会经济地位和媒体使用有关. 公共卫生战略必须解决制度信任和性别不平等问题,以打击健康错误信息.
科学领域:
- 公共卫生 公共卫生
- 社会学 社会学 社会学
- 沟通研究 沟通研究
背景情况:
- 随着COVID-19的爆发,出现了信息传染病,其特点是广泛的健康错误信息.
- 这种错误信息导致了对疫苗的犹,拒绝公共卫生指导和对卫生机构的不信任.
- 了解错误信息的流行和驱动因素对于有效的公共卫生战略至关重要.
研究的目的:
- 评估西班牙COVID-19错误信息的流行和传播情况.
- 根据他们对COVID-19错误信息的信仰来确定人口群体.
- 探索与易受错误信息影响相关的社会,经济,意识形态和媒体使用因素.
主要方法:
- 在西班牙,对2200名个人进行了全国代表性的横截面电话调查.
- 开发和应用COVID-19错误信息量表.
- 将参与者分为确信,犹和怀疑的群体,使用k-means集群和多项逻辑回归.
主要成果:
- 确定了三个群体:确信 (49%),犹 (30.27%) 和怀疑 (20.73%).
- 关键的错误信息主题包括阴谋论,疫苗怀疑和突然死亡叙述.
- 易感性与女性性别,较低的社会经济地位,低质量的来源,高媒体共享,宗教性,机构不信任和政治意识形态有关.
结论:
- 容易受到误导的信息超越了社会经济和意识形态因素,涉及到社交媒体的使用和政治不满.
- 通过分析和绘制错误信息信仰群体,研究结果为公共卫生干预提供了洞察力.
- 战略应优先重视恢复机构信任,促进可靠信息,解决健康错误信息中的性别不平等问题.
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