The most frequent complaint I hear about streaming services is that they don’t pay artists fairly. Michael Pelczynski, the former Vice President of Strategy at SoundCloud, took that complaint personally. Over his five years with the streaming service, he helped conceive and implement a novel payment scheme that received much praise.
Abstract: The growing field of “critical algorithm studies” often addresses the cultural consequences of machine learning, but it has ignored music. Te result is that we inhabit a musical culture intimately bound up with various forms of algorithmic mediation, personalization, and “surveillance capitalism” that has largely escaped critical attention. But the issue of algorithmic mediation in music should matter to us, if music matters to us at all. This article lays the groundwork for such critical attention by looking at one major musical application of machine learning: Spotify’s automated music recommendation system. In particular, it takes for granted that any musical recommendation – whether made by a person or an algorithm – must necessarily imply a tacit theory of musical meaning. In the case of Spotify, we can make certain claims about that theory, but there are also limits to what we can know about it. Both things – the deductions and the limitations – prove valuable for a critique of automated music curation in general."
“We have to overcome some legal hurdles, but we could unionize musicians tomorrow,” DeFrancesco said. “SAG is like an alternate history for musicians. We’ve done all this before and won, just not within recent memory.”
Some musicians are in fact unionized. The American Federation of Musicians, with 80,000 members in the U.S. and Canada, collectively... See more