Researchers use information about the amount of time people spend on digital media for a variety of purposes including to understand impacts on physical and mental health as well as attention and learning. To measure time spent on digital media, participants' self-estimation is a common alternative method if the platform does not allow external access to directly measure people's time spent. However, prior work raises questions about the accuracy of self-reports of time spent on traditional social media platforms and questions about the cognitive factors underlying people's perceptions of the time they spend on social media. In this work, we build on this body of literature by exploring a novel social platform: TikTok. We conduct platform-independent measurements of people's self-reported and server-logged TikTok usage (n=255) to understand how users' demographics and platform engagement influence their perceptions of the time they spend on the platform and the accuracy of their estimates. Our work adds to the body of work seeking to understand time estimations in different digital contexts, and identifies new engagement factors that may be relevant in future social media time estimation studies.
翻译:研究人员利用关于人们花在数字媒体上的时间数量的信息用于各种目的,包括了解对身心健康的影响以及注意力和学习。为了衡量在数字媒体上花费的时间,如果平台不允许外界直接访问,则参与者的自我估计是一种常见的替代方法,如果平台不允许外部访问,直接衡量人们花费的时间。然而,先前的工作使人们对在传统社交媒体平台上花费的时间的自我报告准确性产生疑问,并质疑人们对于在社交媒体上花费的时间的看法所基于的认知因素。在这项工作中,我们探索了一个新的社会平台:TikTok。我们从平台上独立地测量了人们自我报告和服务器对TikTok的使用情况(n=255),以了解用户的人口和平台参与如何影响他们对在平台上花费的时间的看法及其估计的准确性。我们的工作补充了为了解不同数字背景下的时间估计而寻求了解工作体的体积,并确定了可能与未来社交媒体时间估计研究有关的新的参与因素。</s>