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!
What a great tagline, actually! One might think that big goals and rewards are enticing to prospective customers, but more often it is removing barriers in the prospect's heads' what converts them.
Shifting the mindset from "This is too hard for someone like me" to "I can do this!" goes a long way in converting and building fruitful relationships.
Thanks for sharing, Annie!
