2022
DOI: 10.31234/osf.io/zq4ka
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Social media reveals population dynamics of dysphoric dreaming

Abstract: Nightmares disrupt sleep health and predict future psychiatric diagnosis, yet reliable population estimates and their fluctuations over time are difficult to obtain. Here, we observe an increase in dysphoric dreaming shared on Reddit immediately following the World Health Organization's declaration of COVID-19 as a global pandemic. This "digital dream surveillance" approach might offer the field of sleep medicine a low-cost and real-time system for monitoring population sleep health.

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“…In this study, the dream texts were translated and transcribed into English, and preprocessed into four super-categories-Community-oriented (by grouping the LIWC categories: social, family, moral, friend, and prosocial), Threat (by grouping the LIWC categories: conflict and death), Negative emotions (encompassing the category: negative emotions), and Anxiety (encompassing the category: anxiety). 63 and has been widely used in other word-based dream content analyses 25,64,65 .…”
Section: Dream Text Analysismentioning
confidence: 99%
“…In this study, the dream texts were translated and transcribed into English, and preprocessed into four super-categories-Community-oriented (by grouping the LIWC categories: social, family, moral, friend, and prosocial), Threat (by grouping the LIWC categories: conflict and death), Negative emotions (encompassing the category: negative emotions), and Anxiety (encompassing the category: anxiety). 63 and has been widely used in other word-based dream content analyses 25,64,65 .…”
Section: Dream Text Analysismentioning
confidence: 99%