ArticleRoyal Society open science2021
Diurnal fluctuations in musical preference.
Article in Royal Society open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- Large-scale patterns of self-reported mood and sleep across the day and week on an online cognitive-training platform.PLOS digital health · 2026Article
- Song audio features are associated with the presence of alcohol references in popular music lyrics.Alcohol and alcoholism (Oxford, Oxfordshire) · 2026Article
- Here comes the sun: music features of popular songs reflect prevailing weather conditions.Royal Society open science · 2023Article
- Music that is used while studying and music that is used for sleep share similar musical features, genres and subgroups.Scientific reports · 2023Article
- Music preferences as an instrument of emotional self-regulation along the business cycle.Journal of cultural economics · 2023Article
- Article
- Nocturnal selective pressures on the evolution of human musicality as a missing piece of the adaptationist puzzle.Frontiers in psychology · 2023Article
- Soundscapes of morality: Linking music preferences and moral values through lyrics and audio.PloS one · 2023Article
- Article
- Diurnal fluctuations in musical preference.Royal Society open science · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rhythm of human life is governed by diurnal cycles, as a result of endogenous circadian processes evolved to maximize biological fitness. Even complex aspects of daily life, such as affective states, exhibit systematic diurnal patterns which in turn influence behaviour. As a result, previous research has identified population-level diurnal patterns in affective preference for music. By analysing audio features from over two billion music streaming events on Spotify, we find that the music people listen to divides into five distinct time blocks corresponding to morning, afternoon, evening, night and late night/early morning. By integrating an artificial neural network with Spotify's API, we show a general awareness of diurnal preference in playlists, which is not present to the same extent for individual tracks. Our results demonstrate how music intertwines with our daily lives and highlight how even something as individual as musical preference is influenced by underlying diurnal patterns.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.