🤖📱 Between empty promises of a billionaire and a social credit system. The “secret” way your behaviour is ranked on X

What is Tweepcred? It’s a reputation system inherited from the days of Twitter, a social credit mechanism built into X, where every like, comment, retweet, or interaction feeds a hidden score. Post the wrong thing, and your reach is throttled, invisible to followers, blocked from the For You Page, and your voice is confined to a digital coffin. The worst part? X won’t even tell us what we’re doing wrong.

Tweepcred was open-sourced two years ago as part of Elon’s big push for “transparency.” The release confirmed what many suspected for over a decade: the system wasn’t neutral. It could be gamified, and it rewarded those who knew how to play it. Industry insiders and large organizations held a massive advantage over individuals, defeating the very purpose of the internet and the cultural revolution that once challenged mass media.

Content was no longer driven by ideas, but by reputation. Your feed was curated before you even had a chance to curate it yourself.

Think of Tweepcred as an illiterate bot tracking your every move, looking for typos, “wrong” speech, and behavior to silently upvote or downvote your posts in order to determine reach. It is a relic of algorithmic censorship from the 2010s and it prevents X from becoming a true global platform. The failure of the reputation system lies in the fact it suppresses the very people it was supposed to protect. Ordinary users pay the price for these safety measures, while scammers and bad-faith actors exploit the system and push the algorithm to its limits.

The problem with the algorithm is not just that it punishes behavior, it tries to predict it. Tweepcred decides which posts should be censored before they even go viral. This creates countless false positives that bury engaging and valuable accounts under a sea of predictable, advertiser-friendly content, often generated by AI slop farms. Content that could have sparked conversation, built communities, or influenced discourse is suppressed. The result is a sterile environment where only “corporate safe speech” survives, while human creators who aim for originality, nuance, or nonconformity are punished and forced to move to other platforms.

Algorithmic censorship is a digital extension of preexisting societal control. It wasn’t born on the internet. In real life, you don’t have lines of code following you around, but you do have people, networks of influence, institutions, and gatekeepers who police culture according to their own interests. The algorithm formalizes that same behavior at scale. It is the same mechanism that turned traditional media into a toxic institution, a system where reputation, not truth, determines who gets to speak and who becomes forgotten.

After 2016, the state and its corporate satellites moved to reassert control over the digital world they had lost. “Misinformation” became the new moral panic. Under that banner, media networks, NGOs, and intelligence agencies began coordinating with platforms to rebuild the hierarchy of information that the internet had overthrown. Tech companies were pressured to enforce safety online, which sounded like public service but functioned as narrative enforcement. It was during this period that social media algorithms, including Tweepcred, were built to counter the memetic revolution.

Measures like Digital ID are designed to chip away at our leverage over virality, creating a legal framework where users can easily be punished for their social media activity. Limiting internet access for minors will not be about protecting them from Skibidi Toilet or porn. It will be about preventing the rise of another frog generation, people who refuse to look to traditional authorities for guidance. This age segregation gives the establishment a blank slate with each generation, making knowledge harder to pass down, while algorithms subtly force us to self-censor and erase the identity of frog culture.

🔗 https://substack.com/home/post/p-175052409