The rhythms of the night: increase in online night activity and emotional resilience during the spring 2020 Covid-19 lockdown.

Circadian rhythms Covid-19 Online attention Twitter Youtube

Journal

EPJ data science
ISSN: 2193-1127
Titre abrégé: EPJ Data Sci
Pays: Germany
ID NLM: 101686785

Informations de publication

Date de publication:
2021
Historique:
received: 17 07 2020
accepted: 17 01 2021
entrez: 8 2 2021
pubmed: 9 2 2021
medline: 9 2 2021
Statut: ppublish

Résumé

The lockdown orders established in multiple countries in response to the Covid-19 pandemic are arguably one of the most widespread and deepest shock experienced by societies in recent years. Studying their impact trough the lens of social media offers an unprecedented opportunity to understand the susceptibility and the resilience of human activity patterns to large-scale exogenous shocks. Firstly, we investigate the changes that this upheaval has caused in online activity in terms of time spent online, themes and emotion shared on the platforms, and rhythms of content consumption. Secondly, we examine the resilience of certain platform characteristics, such as the daily rhythms of emotion expression. Two independent datasets about the French cyberspace: a fine-grained temporal record of almost 100 thousand YouTube videos and a collection of 8 million Tweets between February 17 and April 14, 2020. In both datasets we observe a reshaping of the circadian rhythms with an increase of night activity during the lockdown. The analysis of the videos and tweets published during lockdown shows a general decrease in emotional contents and a shift from themes like work and money to themes like death and safety. However, the daily patterns of emotions remain mostly unchanged, thereby suggesting that emotional cycles are resilient to exogenous shocks. The online version contains supplementary material available at 10.1140/epjds/s13688-021-00262-1.

Identifiants

pubmed: 33552837
doi: 10.1140/epjds/s13688-021-00262-1
pii: 262
pmc: PMC7848867
doi:

Types de publication

Journal Article

Langues

eng

Pagination

7

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

Références

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Auteurs

Maria Castaldo (M)

Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, GIPSA-lab, 11 rue des Mathématiques, F-38000 Grenoble, France.

Tommaso Venturini (T)

CNRS, CIS-lab, 59 rue Pouchet, F-75017 Paris, France.

Paolo Frasca (P)

Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, GIPSA-lab, 11 rue des Mathématiques, F-38000 Grenoble, France.

Floriana Gargiulo (F)

CNRS, GEMASS, 59 rue Puchet, F-75017 Paris, France.

Classifications MeSH