Abstract
Introduction: In stressful times, people often listen to “coping songs” that help them reach emotional well-being goals. This paper is a first attempt to map the connection between an individual’s well-being goals and their chosen coping song. Methods: We assembled a large-scale dataset of 2,804 coping songs chosen by individuals from 11 countries during COVID-19 lockdown. Individuals reported their well-being goals and also named their coping song. We applied an unsupervised topic-modeling approach to identify 15 self-emerging topics from the song lyrics, and connected them to well-being goals. Results: We found significant association between certain lyrics’ topics and specific well-being goals. This association weakened for participants for which music is highly important. No significant patterns were found for the songs’ acoustic features. Discussion: This paper posits that song lyrics, despite their brevity and presumed simplicity, can be meaningful for self-regulation of emotional states, and should receive more attention by researchers and streaming services alike.
Original language | English |
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Article number | 1431741 |
Journal | Frontiers in Psychology |
Volume | 15 |
DOIs | |
State | Published - 2024 |
Bibliographical note
Publisher Copyright:Copyright © 2024 Levy, Granot and Peres.
Keywords
- acoustic features analysis
- COVID-19
- emotion regulation
- lyrics
- songs
- topic modeling
- well-being