Unveiling the dynamics of emotions in society through an analysis of online social network conversations

Title Unveiling the dynamics of emotions in society through an analysis of online social network conversations
Author Sener, B., Akpinar, E., Ataman, Mehmet Berk
Publication Date: 2023-09-11
Publication Place - Springer Nature
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 2045-2322
Record ID 0e67136e-5399-4563-b23c-4bb56e4f0dc7
Library Location Business Administration
Date 2023-09-11
Notes Bilim Akademisi ; Sabancı Üniversitesi
Sample Text 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.
DOI 10.1038/s41598-023-41573-9
Cilt 13
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Unveiling the dynamics of emotions in society through an analysis of online social network conversations

Author Sener, B., Akpinar, E., Ataman, Mehmet Berk
Publication Date 2023-09-11
Publication Place - Springer Nature
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 2045-2322
Record ID 0e67136e-5399-4563-b23c-4bb56e4f0dc7
Library Location Business Administration
Date 2023-09-11
Notes Bilim Akademisi ; Sabancı Üniversitesi
Sample Text 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.
DOI 10.1038/s41598-023-41573-9
Cilt 13
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