New spotifyr R Package Release

After a very thorough modernization of the package’s exception handling, documentation, and code dependencies that I did in the last week, the spotifyr package has passed again the peer-review standards and it is back on CRAN. The package is an excellent starting to point for R newbies to try their hands on musicology analysis with a few keystrokes. And of course, it is an essential part of the research infrastructure of musicology worldwide in far more advanced applications.

Recommendation Systems: What can Go Wrong with the Algorithm?

In complex systems there are hardly ever singular causes that explain undesired outcomes; in the case of algorithmic bias in music streaming, there is no single bullet that eliminates women from charts or makes Slovak or Estonian language content less valuable than that in English.

Music Streaming: Is It a Level Playing Field?

Our paper argues that fair competition in music streaming is restricted by the nature of the remuneration arrangements between creators and the streaming platforms, the role of playlists, and the strong negotiating power of the major labels. It …

Reprex Joins The Dutch AI Coalition

Reprex is committed to develop its data platforms, or automated data observatories, and its Listen Local system in a trustworthy manner. Our startup participates in various scientific collaborations that are researching ideas on future regulation of copyright and fair competition with respect to AI algorithms, and joined the Dutch AI Coalition to position the company and the Netherlands at the forefront of knowledge and application of AI for prosperity and well-being, respecting Dutch and European values.