The End of Social Media and the Rise of Recommendation Media

It’s ultimately up to the platform to decide what type of content gets recommended, not the social graph of the person producing the content. In contrast to social media, recommendation media is not a competition based on popularity; instead, it is a competition based on the absolute best content. Through this lens, it’s no wonder why Kylie Jenner ... See more

Last week, Meta announced that the Facebook newsfeed would be shifting towards an algorithmic, recommendation-based model of content distribution. This announcement marked the most recent example of a major platform to formally make this shift, while other major platforms, including Meta’s Instagram, have been headed in this direction for a while. ... See more

In addition, perhaps there is a general limit to how far a single feed of random content arranged algorithmically can go before we suffer pure consumption exhaustion. Perhaps seeing curated snapshots from everyone will finally push us all to the breaking point of jealousy and FOMO and, across a large enough number of users, an asymptote will emerge... See more

Social as a model works when people have about as much to offer as they want to receive along a given axis. But no trait is distributed uniformly; there are are outliers in the nice-to-look-at, nice-to-listen-to, nice-to-read, nice-to-get-stock-tips from axes, there's a population that can offer a respectable performance with these traits, and ther... See more