Epidemic Dreams: Dreaming about health during the COVID-19 pandemic
Sanja \v{S}\'cepanovi\'c, Luca Maria Aiello, Deirdre Barrett, Daniele, Quercia

TL;DR
This study investigates how dreams during the COVID-19 pandemic reflect real-world health experiences, showing that dream content aligns with waking life symptoms and thought processes through deep learning analysis.
Contribution
It introduces a deep-learning method to analyze dream reports and tweets, demonstrating the continuity hypothesis in the context of a global health crisis.
Findings
Dream content includes COVID-19 symptoms like cough and fever.
Dreams reflect emotional and surreal themes unrelated to real symptoms.
Waking life expressions are more logical and realistic.
Abstract
The continuity hypothesis of dreams suggests that the content of dreams is continuous with the dreamer's waking experiences. Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic. We implemented a deep-learning algorithm that can extract mentions of medical conditions from text and applied it to two datasets collected during the pandemic: 2,888 dream reports (dreaming life experiences), and 57M tweets mentioning the pandemic (waking life experiences). The health expressions common to both sets were typical COVID-19 symptoms (e.g., cough, fever, and anxiety), suggesting that dreams reflected people's real-world experiences. The health expressions that distinguished the two sets reflected differences in thought processes: expressions in waking life reflected a linear and logical thought process and, as such,…
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