The spread of misinformation is a pressing global problem that has elicited a range of responses from researchers, policymakers, civil society and industry. Over the past decade, these stakeholders have developed many interventions to tackle misinformation that vary across factors such as which effects of misinformation they hope to target, at what stage in the misinformation lifecycle they are aimed at, and who they are implemented by. These interventions also differ in how effective they are at reducing susceptibility to (and curbing the spread of) misinformation. In recent years, a vast amount of scholarly work on misinformation has become available, which extends across multiple disciplines and methodologies. It has become increasingly difficult to comprehensively map all of the available interventions, assess their efficacy, and understand the challenges, opportunities and tradeoffs associated with using them. Few papers have systematically assessed and compared the various interventions, which has led to a lack of understanding in civic and policymaking discourses. With this in mind, we develop a new hierarchical framework for understanding interventions against misinformation online. The framework comprises three key elements: Interventions that Prepare people to be less susceptible; Interventions that Curb the spread and effects of misinformation; and Interventions that Respond to misinformation. We outline how different interventions are thought to work, categorise them, and summarise the available evidence on their efficacy; offering researchers, policymakers and practitioners working to combat online misinformation both an analytical framework that they can use to understand and evaluate different interventions (and which could be extended to address new interventions that we do not describe here) and a summary of the range of interventions that have been proposed to date.
翻译:错误信息的扩散是一个紧迫的全球问题,引起了研究人员、决策者、民间社会和产业界的广泛反应。过去十年来,这些利益攸关方制定了许多干预措施,以解决各种因素之间的错误信息,如他们希望针对的错误信息影响、在错误信息生命周期的哪个阶段针对的,以及由谁实施的。这些干预措施在降低对错误信息易感性(和遏制其传播)的有效程度方面也各不相同。近年来,大量关于错误信息的学术工作已经出现,涉及多个学科和方法。现在越来越难以全面规划所有现有干预措施,评估其效力,了解与使用这些干预措施有关的挑战、机会和权衡。很少有文件系统地评估和比较了各种干预措施的影响,导致在公民和决策讨论中缺乏理解。考虑到这一点,我们制定了一个新的等级框架,用以理解网上错误信息干预的干预。该框架包括三个关键要素:使人们不那么容易干预的干预措施;控制错误信息的传播和影响;以及适应错误信息的干预。我们没有将现有干预措施与错误信息相关的挑战、机会和权衡。我们概述了各种干预措施是如何通过在线分析工具来理解的。我们提出了不同的干预措施,可以理解它们是如何将其理解为一种不同的分析性证据。