Algorithmic Entropy

Algorithmic Entropy is the common phenomenon of media recommendation/suggestions/autoplay/mix algorithms undergoing drift into lower common denominator media/music overtime, largely due to the way that recommendation algorithms handle "risk taking" (being weighted towards being careful not to rec you something you might not like) and the way "shared audience" is a core vector in the decision process. Algorithmic Entropy can be particularly annoying if you are a musician that just found a cool track and wish to find more stuff like it, such as being a Fizz musician and letting your playlist autoplay after Fizz vol. 1 or Telefuzz vol. 1, and before you know it you're listening to popular Vulfpeck songs from 2019.

"Dude the algorithmic entropy on Youtube Music is so hilariously bad, I was just listening to some cool girl indie electronica music and after only like five songs it was just a sea of 6-2-5-1-strummed-on-a-guitar-with-a-soft-voice-core"

"yeah it makes sense you got algorithmic entropy after that song since you are listening for the genius production while most people just came for the vocals"

The "Slay Queen" Problem:

One of the most brutal examples of algorithmic entropy is commonly experienced by fans of "elevated" dance/synth/electro/club/DnB pop music, which many musicians love. Many of these artists, such as Pink Pantheress or charliexcx, have an undeniable "slay queen" aesthetic to them. It's great. It's part of their vibe and aesthetic and it serves their style well, and it makes total sense that the girlies and the gays love these artists, but this slay queen aesthetic is shared among many female pop artists of greatly varying subgenres e.i Pink Pantheress, charliexcx, Doja Cat, Zara Larsson, Upsahl, Ariana Grande, Sabrina Carpenter, Chappell Roan, etc, which results in all of them being put into one shared basked of listeners who derive their music taste from that shared slay culture. This results in particularly harsh algorithmic drift for listeners that were hoping to discover more songs that share sonic and structural vectors rather than a shared cultural aesthetic.