MK
@mkay
MK
It’s that these reactions are so normalized online that they’re almost boring.
Vox • Every "chronically online" conversation is the same
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
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
Yet, the final component of the streaming ecosystem — artists and their teams — are still pretty much where they were in 2010 regarding algorithmic optimization. Today, most algorithmic strategies follow a kind of "throw spaghetti at a wall and see what sticks" approach: make sure that the metadata you provide to DSPs is as complete and accurate as... See more
Music Tomorrow • Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]
Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]
Dmitry Pastukhovmusic-tomorrow.com![Thumbnail of Towards Recommender System Optimization: Our Data Tool for Algorithmic Optimization on Spotify [Part 1]](https://uploads-ssl.webflow.com/6206e1343aa2f122195717f8/6310b1a1447a22ac785a50ae_alina-grubnyak-ZiQkhI7417A-unsplash%20(1).jpg)