NudgeCred：通过Nudges支持社交媒体上的新闻可信度评估
NudgeCred: Supporting News Credibility Assessment on Social Media Through Nudges
摘要：
为了遏制错误信息，社交媒体平台正在尝试设计干预措施，以提高平台上可信新闻的消费量。其中一些干预措施，如使用警告信息，是轻推的例子--一种引导行为的保留选择的技术。尽管他们的应用，我们不知道是否轻推可以引导人们在网上做出有意识的新闻可信度判断，如果他们这样做，在什么约束下。为了回答这个问题，我们结合轻推技术和基于启发式的信息处理来设计NudgeCred --Twitter的浏览器扩展。NudgeCred将用户的注意力引导到两个设计线索：来源的权威和其他用户对报告的集体意见，通过激活三个设计提示-可靠，可疑和不可靠，每个都表示新闻推文的可信度。在一项对照实验中，我们发现NudgeCred显著帮助用户（n=430）区分新闻推文的可信度，不受三种行为混淆的限制-政治意识形态，政治犬儒主义和媒体怀疑论。一个为期五天的实地部署与12名参与者显示，NudgeCred提高了他们的识别新闻项目和注意力对我们所有的轻推，特别是对可疑。除其他考虑因素外，与会者建议设计师应采用用户信任的设计方法。我们的工作为在线媒体提供了基于轻推的系统设计方法。
英文摘要：
Struggling to curb misinformation, social media platforms are experimenting with design interventions to enhance consumption of credible news on their platforms. Some of these interventions, such as the use of warning messages, are examples of nudges -- a choice-preserving technique to steer behavior. Despite their application, we do not know whether nudges could steer people into making conscious news credibility judgments online and if they do, under what constraints. To answer, we combine nudge techniques with heuristic based information processing to design NudgeCred -- a browser extension for Twitter. NudgeCred directs users' attention to two design cues: authority of a source and other users' collective opinion on a report by activating three design nudges -- Reliable, Questionable, and Unreliable, each denoting particular levels of credibility for news tweets. In a controlled experiment, we found that NudgeCred significantly helped users (n=430) distinguish news tweets' credibility, unrestricted by three behavioral confounds -- political ideology, political cynicism, and media skepticism. A five-day field deployment with twelve participants revealed that NudgeCred improved their recognition of news items and attention towards all of our nudges, particularly towards Questionable. Among other considerations, participants proposed that designers should incorporate heuristics that users' would trust. Our work informs nudge-based system design approaches for online media.
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。
