Crescer sem as redes sociais

As social networks like Twitter, Facebook, and Instagram grow larger, they skew disproportionately toward supernodes—celebrity, meme and business accounts.

In recommendation media, content is not distributed to networks of connected people as the primary means of distribution. Instead, the main mechanism for the distribution of content is through opaque, platform-defined algorithms that favor maximum attention and engagement from consumers. The exact type of attention these recommendations seek is... See more

the internet, as we have known it, has evolved from a quaint, quirky place to a social utopia, and then to an algorithmic reality. In this reality, the primary task of these platforms is not about idealism or even entertainment — it is about extracting as much revenue as possible from human vanity, avarice, and narcissism.

Platforms like TikTok and Instagram are engines of distraction and cultural rot. They stand in front of the more difficult but more rewarding aspects of life: deep work, intimate connections with friends and loved ones, focused attention for hobbies with intrinsic rewards. By training users to crave constant novelty and the immediate approval of... See more

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.

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