Effect of the lockdown on diurnal patterns of emotion expression in Twitter.

LIWC Twitter circadian emotion lockdown psychometrics

Journal

Chronobiology international
ISSN: 1525-6073
Titre abrégé: Chronobiol Int
Pays: England
ID NLM: 8501362

Informations de publication

Date de publication:
11 2021
Historique:
pubmed: 18 6 2021
medline: 19 11 2021
entrez: 17 6 2021
Statut: ppublish

Résumé

Diurnal variation in psychometric indicators of emotion found in Twitter content has been known for many years. The degree to which this pattern depends upon different environmental zeitgebers has been difficult to determine. The nationwide lockdown in the United Kingdom in spring 2020 provided a unique government-mandated experiment to observe the temporal variation of psychometric indicators in the absence of certain specific social rhythms related to commuting and workplace social activities as well as many normal home-based social activities. We therefore analyzed the aggregated Twitter content of 54 UK cities in the 9 weeks of complete lockdown, comparing them with the 10 weeks that preceded them (as well as with the corresponding weeks of 2019). We observed that the key indicators of emotion retained their diurnal behavior. This suggests that even during lockdown there are still sufficient zeitgebers to maintain this diurnal variation in indicators of emotion.

Identifiants

pubmed: 34134583
doi: 10.1080/07420528.2021.1937198
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1591-1610

Auteurs

Sheng Wang (S)

Intelligent Systems Laboratory, University of Bristol, Bristol, UK.

Stafford Lightman (S)

Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, University of Bristol, Bristol, UK.

Nello Cristianini (N)

Intelligent Systems Laboratory, University of Bristol, Bristol, UK.

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Classifications MeSH