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

Authors :
Wang, Sheng
Lightman, Stafford
Cristianini, Nello
Source :
Chronobiology International: The Journal of Biological & Medical Rhythm Research; Nov 2021, Vol. 38 Issue 11, p1591-1610, 20p
Publication Year :
2021

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07420528
Volume :
38
Issue :
11
Database :
Complementary Index
Journal :
Chronobiology International: The Journal of Biological & Medical Rhythm Research
Publication Type :
Academic Journal
Accession number :
153046381
Full Text :
https://doi.org/10.1080/07420528.2021.1937198