#Sleep_as_Android：在Twitter上使用睡眠研究的可行性
#Sleep_as_Android: Feasibility of Using Sleep Logs on Twitter for Sleep Studies
摘要：
社交媒体作为寻求和分享个人健康信息的平台越来越受欢迎。对于使用社交媒体数据的睡眠研究，大多数研究人员专注于从自我报告的睡眠模式或失眠等问题的轶事中推断与睡眠相关的伪像。社交媒体上的“量化自我”分享的数据为研究更定量和客观的睡眠测量提供了机会。我们提出并验证了收集和分析睡眠日志的方法，通过睡眠跟踪移动应用程序生成和共享。我们通过将这些数据与用户的社交媒体数据相结合来突出这些数据的价值。这些结果验证了使用社交媒体进行睡眠研究，因为收集的睡眠数据与其他来源的睡眠数据一致。将社交媒体数据与睡眠数据相结合的结果提供了初步证据，表明较高的社交媒体活动与较低的睡眠时间和质量有关。
英文摘要：
Social media enjoys a growing popularity as a platform to seek and share personal health information. For sleep studies using data from social media, most researchers focused on inferring sleep-related artifacts from self-reported anecdotal pointers to sleep patterns or issues such as insomnia. The data shared by "quantified-selfers" on social media presents an opportunity to study more quantitative and objective measures of sleep. We propose and validate the approach of collecting and analyzing sleep logs that are generated and shared through a sleep-tracking mobile application. We highlight the value of this data by combining it with users' social media data. The results provide a validation of using social media for sleep studies as the collected sleep data is aligned with sleep data from other sources. The results of combining social media data with sleep data provide preliminary evidence that higher social media activity is associated with lower sleep duration and quality.
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