Permanent Present

The Automation of Listening

Spotify, Pandora and YouTube are all powerful tools that give us instant access to a giant archive of recorded music. But how do its algorithms make its choices for us, and on whose terms? When a robot governs your listening selections, to what extent are you discovering or encountering music, and to what extent is music being supplied to you in formulaic terms, become nothing more than an automated setting on a culture machine?


Technology allows a smorgasbord of niche forms of music to exist happily in their own channels alongside the mainstream, without ever having to clash with it. As Mark Fisher says “the capacity to make an infinity of meaningless choices has replaced the capacity to actually change things”.


The algorithm is now the arbiter of choice.


There is a utopian idea in the concept of this great library in the sky, where all music and video can be accessed instantly and for free. But what other library chooses your reading for you, spies on what you read, and then sells that information on for profit?  Technology has built a living archive of content that can prove enormously profitable to companies like Google and its sponsors, and yet anything but profitable to those who actually create its content.


As far as the listener’s tastes are concerned, what streaming services rely on more than anything else is data, by endlessly tracking what you watch and listen to in order to give you more of the same. Data can therefore only supply a picture of what’s already popular, instead of what might come next.


In becoming so ubiquitous, while at the same time, in the case of Spotify and Youtube, paying so little to the artists, these platforms are increasingly having an impact on what music sounds like: not only the way artists compose music but in the way we think about and listen to it.


Franklin Foer has talked about the ‘automation of thinking’ that the algorithms we interact with make commonplace. The impact of algorithmic processes on social media and political debate is already a matter of concern, but we’re only starting to see how they could impact creativity.  We in the creative industries like music like to think that what we do is so uniquely human that it can never be replicated by a computer. But “no human endeavour has resisted automation,” says Foer. “Why should creative endeavours be any different?”


The automation of listening goes beyond the age-old debates of disco versus rock, or guitar versus synthesizer. More and more what we listen to is not chosen for us in just of terms of the social or genre relations but through their compositional similarities.  On Spotify, content is increasingly channelled through made-up mood-based playlists“deep focus” and “indie chill-out” and so on.  For a song to have value within that listening dynamic it’s important that not only does it not stand out, but that it literally sounds like something else.  So music starts to become more and more a function of the background, something to fill a sonic gap irrespective of its cultural intent.  Add to this the expectation we have not to pay for music and what we’re left with is exactly the thing we didn’t think could happen: the automation of listening.


Gordon Moakes, 2018.





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