Much has recently been written and said about the filter bubble -- i.e. the phenomenon that online algorithms designed to show us items of interest have the perverse effect of insulating us from alternate points of view.

I recently had a simple idea: machine learning can be used to insulate us from opposing ideas, and it could also be used to introduce us to opposing ideas. My nascent concept for implementing this idea is a website called The Opposite View, which learns the preferences of a subscriber (e.g. by being authorized to follow their social media feeds), and then displays content favored by people who have "opposite" views (what "opposite" means would require some thinking, and could be adjustable by the user).

Such a website would of course only be of interest to those who really are interesting in learning views that differ from their own. But it could make an interesting contribution to challenging the filter bubble. Anyone interesting in taking this idea further?