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!



Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Tom Fenske

Engineer | SEO Writer | Dad of a GenAlpha Kiddo | Talking about Digital Parenting, Millennial Finance and the Power of Writing.