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Author (up) Scheffler, T.; Kyba, C.C.M. url  openurl
  Title Measuring Social Jetlag in Twitter Data Type Conference Article
  Year 2016 Publication Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016) Abbreviated Journal  
  Volume Issue Pages 675-678  
  Keywords Human Health; Sunlight; Society  
  Abstract Social constraints have replaced the natural cycle of light and darkness as the main determinant of wake-up and activity times for many people. In this paper we show how Twitter activity can be used as a source of large-scale, naturally occurring data for the study of circadian rhythm in humans. Our year-long initial study is based on almost 1.5 million observations by over 200,000 users. The progression of the onset of Twitter activity times on free days in the course of the year is consistent with previous survey-based research on wake

times. We show that the difference in wake-up time (implicating lack of sleep) on weekdays compared to Sundays is between 1 hour and over 2 hours depending on the time of year. The data also supports the assertion that Daylight Saving Time greatly disrupts the easing of social jetlag in the Spring transition.
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  Area Expedition Conference ICWSM 2016  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1453  
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