人工智能产生的癌症预防影响者可以以低成本在社交媒体上针对风险群体
Jana T Winterstein1, Julia Abels2, Arlene Kuehn2
1Division of Digital Prevention, Diagnostics and Therapy Guidance, German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, University Heidelberg, Heidelberg, Germany.
概括
人工智能 (AI) 产生的影响者可以有效地传播癌症预防信息. 这项研究表明,生成人工智能 (GenAI) 的虚拟人物,如"Wanda",结合有针对性的广告,提供了一个具有成本效益的数字健康沟通工具.
科学领域:
- 数字健康传播数字健康传播
- 人工智能在公共卫生中的作用
- 社交媒体健康运动
背景情况:
- 探索人工智能 (AI) 产生的虚拟影响者的使用,以传播癌症预防信息.
- 利用生成人工智能 (GenAI) 应用程序创建一个虚拟人物"Wanda",在Instagram上宣传癌症意识.
研究的目的:
- 评估人工智能驱动的社交媒体影响者的有效性和成本效益,以促进癌症预防.
- 评估GenAI影响者活动的覆盖范围和受众人口统计数据.
主要方法:
- 开发了五个Instagram帖子,针对关键可修改的癌症风险因素:烟草,饮食,阳光照射,酒精和HPV感染.
- 采用定制定向和自动化广告算法,以提高100欧元预算的竞选覆盖范围.
- 通过分析用户覆盖范围和受众年龄分布来评估竞选绩效.
主要成果:
- 获得了9902个活动认可,平均成本为每次达到0.013欧元.
- 确定了最经济的干预措施,每次达到0.006欧元.
- 针对性和自动化广告策略之间观察到相似的总体覆盖范围,观众年龄人口统计数据有所不同.
结论:
- 生成型人工智能与有针对性的广告相结合,为有效的,低投资的健康传播提供了一个强有力的战略.
- 人工智能驱动的影响者显示出作为数字健康促进的可扩展工具的承诺.
- 讨论了GenAI在健康沟通中的影响以及偏社会关系在内容感知中的作用.
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