Alright, I'm buying your idea of recommendation media being a new standard for content distribution among a given audience.
But that still leaves us with Cunningham's Law, which states "the best way to get the right answer on the internet is not to ask a question; it's to post the wrong answer."
Adapting this to social media, the posts that reliably get the greatest engagement are the ones where people strongly dis-agree with a certain POV. So how will algorithms distuingish between "good" engagement that means content is relevant and welcome to a certain audience and "bad" engagement that spreads dis-agreement leading further down the road to discrimination and hatred?
Opening another discussion here, will this mean Medium will take a step back from its "relational" model of story recommendations to the former "transactional" model?
Thanks for sharing - Great read!
