Is twitter's algo an exercise in information retrieval or reinforcement learning? The decomposition matters. The social graph implicitly & powerfully filters relevant instances. So, I bet the algo is mostly applied reinforcement learning with likes / rts integrated in the reward.
Note: This bias doesn't correct institutional / media bias. You could do that with who you choose follow. Instead, this bias skews presentation in favor of maximum salience. On a social network. Where the most obvious cues are social.
-
-
So, twitter's algo presents the ideas of your friends and hate follows; encoded in 280 char expressions; with attached information-dense social cues; conditioned on things it expects will arouse you; with minimal protections against abusers. Does that seem like a good idea?
Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.