The problem isn’t that the mean has decreased. It’s that the variance has shrunk. Movies, TV, music, books, and video games should expand our consciousness, jumpstart our imaginations, and introduce us to new worlds and stories and feelings. They should alienate us sometimes, or make us mad, or make us think. But they can’t do any of that if they o... See more
In July 2016 Instagram publicly stated that their algorithms were changing because people missed 70% of posts. The sequence of posts became determined by the following factors:
Likelihood that the content is interesting for users
Relationship with the user posting (whether you are relatives, friends or coworker
On one hand, we have a booming Creator Economy, with an ever-expanding democratization of tools for production to anyone with an idea. So much so, that according to 1,000 surveyed Americans by Zine, 86% of people believe there is an overwhelming amount of entertainment available today.
Yet meanwhile on the other hand, we seem to have also found ours... See more
Recommendation media is here. As a result, we’ll make fewer explicit choices (“these are my friends”) and more implicit choices (“this is where the algorithm recommends I should spend my attention”) about how, when, and why we consume content. In the near term, we may not notice much of a difference, but it’ll be fascinating to look back a few year... See more
Since a platform is in control of what content gets served to who and when, there’s no expectation that a creator’s social network is guaranteed to see their content. Therefore, platforms can also choose what not to program, and there’s little creators can do or say to counteract this. Long gone are the days where a creator can complain about being... See more