Unveiling the dynamics of emotions in society through an analysis of online social network conversations.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
11 09 2023
11 09 2023
Historique:
received:
19
04
2023
accepted:
29
08
2023
medline:
13
9
2023
pubmed:
12
9
2023
entrez:
11
9
2023
Statut:
epublish
Résumé
Social networks can provide insights into the emotions expressed by a society. However, the dynamic nature of emotions presents a significant challenge for policymakers, politicians, and communication professionals who seek to understand and respond to changes in emotions over time. To address this challenge, this paper investigates the frequency, duration, and transition of 24 distinct emotions over a 2-year period, analyzing more than 5 million tweets. The study shows that emotions with lower valence but higher dominance and/or arousal are more prevalent in online social networks. Emotions with higher valence and arousal tend to last longer, while dominant emotions tend to have shorter durations. Emotions occupying the conversations predominantly inhibit others with similar valence and dominance, and higher arousal. Over a month, emotions with similar valences tend to prevail in online social network conversations.
Identifiants
pubmed: 37696868
doi: 10.1038/s41598-023-41573-9
pii: 10.1038/s41598-023-41573-9
pmc: PMC10495421
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
14997Informations de copyright
© 2023. Springer Nature Limited.
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