Using music streaming data for research: A relational approach

Online music streaming has emerged as a central mode of consumption in Europe and many other parts of the world, representing a distinct break from older forms of music media such as compact discs or broadcast radio. Instead of the one-to-many models that have historically dominated music dissemination – where an individual’s listening habits could only be guessed at through aggregate sales figures or broadcast audience estimates – streaming has introduced a one-to-one model. This shift, which gradually gained momentum during the last two decades (Drott 2024, p. 1), hinges on platforms and devices that also allow unprecedented observation of how individual listeners engage with recorded music. Consequently, hundreds of millions of people are now individually tracked in near-real time, generating vast amounts of granular data.