This report identifies two main bodies of academic research that pay sustained attention to
algorithmic recommendation in the realm of culture: a) academic computer science and b) …

The majority of music consumption nowadays takes place on music streaming platforms.
Whichever artists, albums, or songs are exposed to consumers on these platforms therefore …

The algorithmic systems utilized by music streaming services have the potential to positively
influence individual choices by promoting new artists, but they are also often accused of …

This study explores the evolution of the music industry in the digital age by focusing on
market intermediation. Drawing on Karpik's (2010) economics of singularities, it aims to …

This study quantitatively investigates the collaborative framework and competitive landscape
of Thailand's evolving music industry, driven by technological progress and changing …

Recommender systems have become the dominant means of curating cultural content,
significantly influencing the nature of individual cultural experience. While the majority of …

This article explores the relationship between algorithmic personalization and brand loyalty
by examining how personalization experiences are articulated within the context of music …

Online innovation competitions are ecosystems where institutions source numerous
solutions from knowledge workers through a platform intermediary. By considering how an …

In this article we develop the concept of “algorithmic network imaginary” to understand how
musicians imagine and relate to the networks of “related artists” they are algorithmically …

This paper examines the ways in which the digitalization of the music industries has
impacted the work of musicians locally, in the semi-peripheral country of Hungary. In …