MK
@mkay
MK
Moreover, as the critic Rob Horning has argued with respect to TikTok, algorithms do not simply discern what we want and serve it to us; they train us to want what they can serve us. Successful platforms do not just discover what consumers want — they produce the consumers and the forms of consumer desire that they need.
ROGERS BRUBAKER • Hyperconnected Culture and Its Discontents
When we dress to be photographed, we increasingly dress to be distributed as an image, and thus transformed into a kind of ad.
Dirt • Dirt | Substack
This was what personal style was to me in 2008: a cipher for something much broader, a glimpse into the lives of others.
Dirt • Dirt | Substack
In a way, recommender systems have become some of the most important opinion leaders in the industry. The same way a recommendation from a trusted friend can go a long way — compared to, let's say, an ad you see on Instagram — a recommendation from a "trusted" algorithm brings about a sort of post-social proof.
Music Tomorrow • Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]
Some invest a lot of time and skill in crafting TikTok videos, but neither time nor skill is required. If TikTok “enables everyone to be a creator,” as its former mission statement proclaimed, this is because creative labor on the platform has been automated and deskilled.
ROGERS BRUBAKER • Hyperconnected Culture and Its Discontents
2020 was the first year when streaming services overtook "family and friends" as the primary channel for music discovery, with over 62% of music listeners in the US naming DSPs among their top discovery sources.
Music Tomorrow • Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]
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