Saved by sari and
Filtering: Seven Principles
Information networks should have more 'serendipity' filters that take you outside the things you normally see. Follow graphs and interest graphs are great - but they are far more vulnerably to groupthink, tunnel vision, and filter bubbles.
This allows us to pop the algorithmic bubbles—the weapons of math destruction—used by the Twitters, Facebooks, Googles of the world to lull us to sleep. It shuts off the intermittent dopamine drip to which we have become tethered and addicted.Though I do not lead a life so interesting to write about each and every day (partly why this newsletter go... See more
Tom White • Curation as a Cure
If you go too far off the beaten path of algorithmic consistency, you risk never being heard. You may never get enough cultural momentum to exist in any meaningful way. That is a real problem. But if you're too good at algorithmic optimization, you risk building a large audience without saying anything particularly original or important. Not to men... See more
Justin Murphy • The Imperceptible Mechanisms of Deep Community
There are tens of thousands of people sharing insights on a long-tail of topics, but their content is buried in the deep corners of the interwebs, found only by chance, and consumed in fleeting social media feeds that strip context and discourage reflection.
If you want to know what the smartest people have to say about the future of fandom, there i... See more
If you want to know what the smartest people have to say about the future of fandom, there i... See more
Sari Azout • Re-Organizing the World’s Information: Why We Need More Boutique… — Mirror
If you can set up a system where anyone can publish anything, and dynamically allocate more resources to the ideas that seem most promising, you're much more likely to produce a lot of surprisingly awesome output. This is important for reasons deeper than just "people are bad at predicting success"—I think there's something about surprise that audi... See more