Abstract
Music is an important part of childhood development, with online music listening platforms being a significant channel by which children consume music. Children's offline music listening behavior has been heavily researched, yet relatively few studies explore how their behavior manifests online. In this paper, we use data from LastFM 1 Billion and the Spotify API to explore online music listening behavior of children, ages 6-17, using education levels as lenses for our analysis. Understanding the music listening behavior of children can be used to inform the future design of recommender systems.
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CITATION STYLE
Spear, L., Milton, A., Allen, G., Raj, A., Green, M., Ekstrand, M. D., & Pera, M. S. (2021). Baby shark to Barracuda: Analyzing children’s music listening behavior. In RecSys 2021 - 15th ACM Conference on Recommender Systems (pp. 639–644). Association for Computing Machinery, Inc. https://doi.org/10.1145/3460231.3478856
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