使用Facebook广告受众进行全球生活方式疾病监测：承诺和限制
Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations
摘要：
每天都有数百万用户在Facebook上展示他们的兴趣，然后通过有针对性的广告营销活动获利。在本文中，我们探讨了使用人口统计学上丰富的Facebook广告受众估计来跟踪世界各地的非传染性疾病。在47个国家中，我们计算了标记兴趣的受众，并评估了他们在跟踪与烟草使用，肥胖和糖尿病相关的健康状况方面的潜力，与安慰剂兴趣的表现相比。尽管其巨大的潜力，我们发现，在建模流行的国家之间的健康状况，在这些利益的观众的差异只是微弱的指示相应的患病率。然而，在这些国家内，我们的方法提供了关于各人口群体健康意识趋势的有趣见解。最后，我们提供了一个时间错误分析，以揭示使用Facebook的营销API作为黑盒的潜在陷阱。
英文摘要：
Every day, millions of users reveal their interests on Facebook, which are then monetized via targeted advertisement marketing campaigns. In this paper, we explore the use of demographically rich Facebook Ads audience estimates for tracking non-communicable diseases around the world. Across 47 countries, we compute the audiences of marker interests, and evaluate their potential in tracking health conditions associated with tobacco use, obesity, and diabetes, compared to the performance of placebo interests. Despite its huge potential, we find that, for modeling prevalence of health conditions across countries, differences in these interest audiences are only weakly indicative of the corresponding prevalence rates. Within the countries, however, our approach provides interesting insights on trends of health awareness across demographic groups. Finally, we provide a temporal error analysis to expose the potential pitfalls of using Facebook's Marketing API as a black box.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
