共同的价值观,共同的责任和压倒性的积极性:通过使用生成人工智能来调查针对性的COVID-19公共卫生信息方法
1Department of Communication and Media, Sacred Heart University, Fairfield, Connecticut, United States.
Journal of health communication
|January 19, 2026
概括
生成型人工智能 (AI) 可以帮助创建有针对性的COVID-19疫苗信息. 这种专注于共同价值观和责任的方法可以抵制健康错误信息,并改善公共卫生合规性.
科学领域:
- 公共卫生传播 公共卫生传播
- 健康 行为 健康行为
- 医疗保健中的人工智能
背景情况:
- 在COVID-19大流行期间,错误的信息导致了不合规和负面的健康结果.
- 在紧急情况下,有效的健康沟通至关重要,但对于公共卫生专业人员来说,这是一个挑战.
- 弱势群体特别容易受到健康错误信息的影响.
研究的目的:
- 探索使用生成人工智能 (AI) 在创建有针对性的COVID-19助推疫苗信息.
- 评估人工智能产生的信息对不同的人口群体的有效性.
- 识别可以对抗错误信息和鼓励疫苗坚持的消息传递策略.
主要方法:
- 利用ChatGPT 3.5来设计有针对性的COVID-19助推疫苗信息.
- 分析了各种人口群体的信息,包括政治倾向,宗教和阴谋论者.
- 采用情绪和诱导性的专题分析来评估信息变化.
主要成果:
- 针对性消息在各个人口群体之间有所不同,重点是积极的框架.
- 信息强调了个人和社区在遵守公共卫生指南方面的责任.
- 积极的框架和对共同价值观的呼吁显示出塑造态度的潜力.
结论:
- 生成型人工智能可以帮助卫生沟通人员开发以受众为中心的信息.
- 积极的框架和对价值观的呼吁可以有效地打击错误信息.
- 有针对性的消息传递策略对于改善紧急情况下的公共卫生合规性至关重要.
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