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Pré-Publication, Document De Travail Année : 2022

Mental health effects of COVID-19 lockdowns: a Twitter-based analysis

Résumé

We derive a mental health indicator measuring the frequency of words expressing anger, anxiety and sadness from a fixed population of Twitter users located in France. During the first COVID-19 lockdown, our indicator did not reveal a statistically significant mental health response, while the second lockdown triggered a sharp and persistent deterioration in all three emotions. In addition, DID and event study estimates show a more severe mental health deterioration among women and younger users during the second lockdown. Our results suggest that successive stay-at-home orders significantly worsen mental health across a large segment of the population.
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Dates et versions

hal-03740701 , version 1 (29-07-2022)
hal-03740701 , version 2 (02-10-2023)

Identifiants

  • HAL Id : hal-03740701 , version 1

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Sara Colella, Frédéric Dufourt, Vincent A Hildebrand, Rémi Vivès. Mental health effects of COVID-19 lockdowns: a Twitter-based analysis. 2022. ⟨hal-03740701v1⟩
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