黑暗的模式,黑暗的推动,污泥和错误信息:酒精行业的应用程序和数字工具
Elliott Roy-Highley1, Katherine Körner1, Claire Mulrenan1
1Public Health, The Royal Free London NHS Trust, London, NW3 2QG, UK.
Health promotion international
|October 8, 2024
概括
酒精行业的数字健康工具往往包含错误信息和"黑暗模式". 这些应用程序可能会不准确地跟踪消费和促进酒精,阻碍了明智的健康决策,并可能增加饮酒.
科学领域:
- 公共卫生 公共卫生
- 数字健康数字健康
- 健康 行为 健康行为
背景情况:
- 酒精行业资助的组织 (AIF) 为酒精消费监测提供电子健康/mHealth工具.
- 之前的研究表明,AIF材料可能包含健康错误信息,包括"黑暗的推动"和"泥".
- 之前没有分析过AIF数字工具的准确性和功能性.
研究的目的:
- 评估信息准确性,框架,行为改变技术 (BCT) 和AIF数字工具的功能.
- 将AIF工具与非行业资助的独立样本进行比较.
- 在AIF工具中识别潜在的错误信息和行业友好的叙述.
主要方法:
- 分析了来自多个国家的15个AIF数字工具 (英国,爱尔兰,美国,加拿大,新西兰,澳大利亚) 和10个非行业资助的工具.
- 评估信息准确性,框架,BCT和界面设计 ("黑暗模式").
- 在AIF和独立工具之间比较反准确度,忽略健康风险 (癌症,心血管疾病) 和促进行业叙述.
主要成果:
- AIF 工具表现出错误信息和"黑暗模式",提供准确反的人数显著减少 (33%与100%相比).
- 投资基金工具显著遗漏了有关癌症 (67%与10%相比) 和心血管疾病 (80%与30%相比) 的信息,并促进了行业叙述 (47%与0%相比).
- 国际投资基金工具使用的BCT较少,提供的选择有限 (54%),饮料选择较少 (平均24对275),并且往往阻碍了指南建议.
结论:
- AIF 数字工具使用错误信息策略和"黑暗模式",误导用户关于酒精消费的信息.
- 这些工具可能会隐蔽地营销酒精,并"推动"用户继续饮酒,表现出"黑暗应用程序"的设计特征.
- 这些发现凸显了对行业资助的饮酒数字健康干预措施的可靠性和潜在危害的担忧.
关键词:
酒精 酒精 酒精 酒精 酒精 酒精 酒精 酒精应用程序 应用程序 应用程序行为行为行为.改变 改变 改变电子健康 电子健康产业 产业 产业 产业 产业 产业移动健康 移动健康 移动健康 移动健康错误的信息 错误的信息推一推,推一个推.污泥污泥是一种污泥.更多相关视频
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