Mental health effects of COVID-19 lockdowns: a Twitter-based analysis - Aix-Marseille Université Access content directly
Preprints, Working Papers, ... Year : 2023

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

Abstract

We use a distinctive methodology that leverages a fixed population of Twitter users located in France to gauge the mental health effects of repeated lockdown orders. To do so, we derive from our population a mental health indicator that measures the frequency of words expressing anger, anxiety and sadness. Our indicator did not reveal a statistically significant mental health response during the first lockdown, while the second lockdown triggered a sharp and persistent deterioration in all three emotions. Our estimates also show a more severe deterioration in mental health among women and younger users during the second lockdown. These results suggest that successive stay-at-home orders significantly worsen mental health across a large segment of the population. We also show that individuals who are closer to their social network were partially protected by this network during the first lockdown, but were no longer protected during the second, demonstrating the gravity of successive lockdowns for mental health.
Fichier principal
Vignette du fichier
WP 2022 - Nr 18 v2.pdf (3.68 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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

Identifiers

  • HAL Id : hal-03740701 , version 2

Cite

Sara Colella, Frédéric Dufourt, Vincent A Hildebrand, Rémi Vivès. Mental health effects of COVID-19 lockdowns: a Twitter-based analysis. 2022. ⟨hal-03740701v2⟩
220 View
134 Download

Share

Gmail Facebook X LinkedIn More