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Mood Management via the Digital Jukebox
Abstract
This study took popular music from the Top 30 charts and, in a pretest, evaluated its energy and joyfulness as musical qualities. The findings were used to create sets of musical selections that were either low or high in these qualities. In the experiment proper, respondents were placed in states of bad, neutral, or good moods and then, in an ostensibly independent study, provided the opportunity to freely choose from the sets of musical selections. The selections were offered by computer software that recorded individual exposure times by selection. To ensure selectivity, exposure time was limited to about one third of the total running time of all available selections. Consistent with predictions from mood-management theory, respondents in bad moods elected to listen to highly energetic-joyful music for longer periods than did respondents in good moods. Respondents in bad moods, moreover, were more decisive in exercising their musical preferences. Following the listening period, respondents' moods did not appreciably differ across the experimental mood conditions.
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Cites
Mood management through communication choices.
ZILLMANN, D. (1988) · American Behavioral Scientist · doi:10.1177/000276488031003005 · Cited by 759
Self-citation
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Coping with Stress: The Effectiveness of Different Types of Music
Labbé, E., Schmidt, N., Babin, J., & Pharr, M. (2007) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-007-9043-9 · Cited by 382
Expanding Disposition Theory: Reconsidering Character Liking, Moral Evaluations, and Enjoyment
Raney, A. A. (2004) · Communication Theory · doi:10.1093/ct/14.4.348 · Cited by 339
Conceptualizing media enjoyment as attitude: implications for mass media effects research.
Nabi, R. L., & Krcmar, M. (2004) · Communication Theory · doi:10.1111/j.1468-2885.2004.tb00316.x · Cited by 327
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Metadata
- Authors
- Knobloch, S.
- Venue
- Journal of Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-06-01
- Volume
- 52
- Issue
- 2
- Pages
- 351-366
- ISSN
- 0021-9916 (ISSN-L)
- 1460-2466
- OpenAlex
- W1967646296
- Cited by
- 309
- References
- 1
- FWCI
- 7.03
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
