music streaming
Chronicling how music streaming services work, and reactions to them
Tony Lashley and
music streaming
What isn’t discussed as much — but is happening in parallel with equal if not greater force, is the shift in corporate music-industry power dynamics away from the Western hemisphere, and towards Asia and the Middle East.
More specifically, music-industry capital flows are now inseparable from both Chinese and Saudi money . While these markets may... See more
More specifically, music-industry capital flows are now inseparable from both Chinese and Saudi money . While these markets may... See more
Bow down to our new music-tech overlords
The music industry is deceiving you. They aren’t doing it on purpose, though. Statistics are just deceptive. And I’m not talking about any fancy statistical techniques. I’m talking about simple things, like means and medians. I’ll illustrate how with Spotify’s album charts.
The simplest way a music streaming service calculates the top album on their... See more
The simplest way a music streaming service calculates the top album on their... See more
Sweet little lies: Deceptive statistics in the album charts
You can’t convince the general public that technological progress is actually bad if they like it.
Worker’s Song | Franz Nicolay
While changes to a market are expected as it evolves, the interconnectedness of music streaming means that impacts are felt throughout the entire ecosystem. This is to say that there is a responsibility for all parties concerned to transparently engage in wider consultation before such impactful decisions are made. There is a shared responsibility... See more
Dan Fowler • Combating the Emergence of a Two-Tier Music Streaming Market: Analysis and recommendations to support a future industry of innovation, inclusivity, and sustainable growth
That is, of course, more or less the rub: if the Xerox machine is somewhat of a troubling invention, everything about our modern-day computer-rich ecosystem is a thousand times worse. My phone syncs to my tablet syncs to my laptop; the value proposition of every device on my person is that it instantaneously and unquestioningly shares copies — of... See more
The year of the music licensing legal wars
The most prominent recent victory for organized musicians was 2018’s Music Modernization Act, which, among other things, established mechanical royalties for streaming, based on a “grand bargain” offering streaming services indemnity from infringement lawsuits in exchange for royalties. The MMA was sponsored by conservative Republicans Bob... See more
Worker’s Song | Franz Nicolay
For most of recorded history, there were two ways of making a living as a musician. You could work for a patron—the court, the church, an individual aristocrat—or you could sing for your supper, sometimes literally, as an itinerant minstrel. Then, by the turn of the twentieth century, a third option opened, that of recording artist, in which little... See more
Worker’s Song | Franz Nicolay
Grokster and StreamCast are dead. Even the iPod is no longer in production. They are buried and gone, like the Betamax and the Betamax “substantial non-infringing uses” standard — all relics of a bygone era, the ephemera of 2004. Copyright law barely made sense then. As you might suspect, 20 years later, it makes even less sense now.
The year of the music licensing legal wars
What Does Music Mean to Spotify? An Essay on Musical Significance in the Era of Digital Curation
Asher T Chodosacademia.edu
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."