论文标题
在肯尼亚和尼日利亚的社交媒体使用者中，与冠状病毒的流行作斗争
Battling the Coronavirus Infodemic Among Social Media Users in Kenya and Nigeria
论文作者
论文摘要
在大流行期间共享信息时，我们如何诱使社交媒体用户辨别？ Facebook Messenger的实验与肯尼亚（n = 7,498）和尼日利亚（n = 7,794）的用户进行了测试的干预措施，旨在减少与共享Covid-19的错误信息的意图，而无需减少分享事实帖子的意图。该研究的初始阶段结合了：（i）具有40个干预组合的阶乘设计； （ii）一种上下文自适应设计，将分配的可能性增加到治疗方案，而治疗方法对以前具有相似特征的受试者的效果更好。第二阶段评估了从数据估算的最佳性能和有针对性的治疗分配政策。我们准确地估计了警告标志和相关文章建议，社交媒体平台使用的策略的无效效应。然而，推她认为信息的准确性将相对于控制的错误信息降低了4.9％（估计= -2.3 pp，s.e。= 1.0，z = -2.31，p = 0.021，95％ci = [-4.2，-0.35]）。这样的低成本可扩展干预措施可以提高在线循环信息的质量。
How can we induce social media users to be discerning when sharing information during a pandemic? An experiment on Facebook Messenger with users from Kenya (n = 7,498) and Nigeria (n = 7,794) tested interventions designed to decrease intentions to share COVID-19 misinformation without decreasing intentions to share factual posts. The initial stage of the study incorporated: (i) a factorial design with 40 intervention combinations; and (ii) a contextual adaptive design, increasing the probability of assignment to treatments that worked better for previous subjects with similar characteristics. The second stage evaluated the best-performing treatments and a targeted treatment assignment policy estimated from the data. We precisely estimate null effects from warning flags and related article suggestions, tactics used by social media platforms. However, nudges to consider information's accuracy reduced misinformation sharing relative to control by 4.9% (estimate = -2.3 pp, s.e. = 1.0 , Z = -2.31, p = 0.021, 95% CI = [-4.2 , -0.35]). Such low-cost scalable interventions may improve the quality of information circulating online.
