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Welcome to the algorithm.
Recommendation algorithms are not random. They're not even particularly mysterious once you understand what they're actually trying to do. At their core, these systems, whether they live inside YouTube, TikTok, Instagram, Spotify, or Netflix, have one singular obsession: keeping you engaged for as long as possible.
They do this by tracking everything. Not just what you watch or click, but how long you linger. Whether you paused. Whether you rewatched the first five seconds before scrolling. Whether you came back to something hours later. Every micro-behavior is a data point, and the algorithm is constantly building a model of you, a version of you expressed entirely in patterns of attention.
Here's where it gets interesting. The algorithm doesn't care if your attention is pleasant or unpleasant. It cares that your attention is captured. And as it turns out, content that triggers strong emotion, outrage, fear, awe, sadness, anxiety, is far better at capturing attention than content that makes you feel calm and content. Calm doesn't click. Calm doesn't share. Calm quietly puts the phone down and goes to sleep.
So without ever being explicitly programmed to make you feel bad, these systems drift naturally toward content that keeps your nervous system buzzing.
The really insidious part isn't a single session of doom-scrolling. It's the loop.
You feel a little low, so you reach for your phone. The algorithm, reading your engagement patterns from the last few days, surfaces content that matches your current emotional state, because that's what you've been responding to. Heavy content gets heavy engagement from you when you're already heavy. So it shows you more. You consume more. You feel worse. You keep scrolling, searching for something that'll flip the switch. The algorithm interprets continued scrolling as enthusiasm and doubles down.
This is not a conspiracy. No one at a tech company sat down and said "let's make people miserable." But the incentive structure, maximize engagement, at any emotional cost, produced a machine that is accidentally very good at making people feel stuck.
Research backs this up. Studies have linked heavy social media use to increased rates of anxiety and depression, particularly in younger users. The connection isn't just about comparison or screen time. It's about what the algorithm chooses to show you based on what it knows will keep you there.
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Yes. But it takes some deliberate effort, because the algorithm is not going to change course on its own.
The first thing to understand is that the algorithm responds to active signals much more than passive ones. Passively watching something to the end teaches the algorithm you liked it. But actively liking, saving, searching for, or following accounts signals a much stronger preference. So if you want a different feed, you have to build it on purpose. Search for creators who make you feel good. Follow topics that energize you. Save the content that actually aligns with who you want to be.
On the flip side, you need to actively remove what you don't want. Use the "not interested" or "don't recommend this channel" features aggressively. Most platforms have them, they're just buried, because using them works against the platform's engagement goals. That's not a coincidence.
Another underrated move: interrupt the loop before it starts. If you notice you're picking up your phone when you're already anxious or tired, that's exactly when the algorithm will feed you the worst stuff, because that's when you're most reactive. Having a non-algorithmic alternative ready (a podcast playlist you curated yourself, an e-reader, even just a glass of water and a walk) can break the cycle before it captures you.
Finally, do a periodic reset. Clear your watch history. Start fresh. It feels dramatic but it works.
Algorithms are powerful, but they're not magic. They're mirrors, and they reflect back whatever you've given them to work with. Feed them curiosity, creativity, and calm, and they'll slowly, imperfectly, start to return the same.
The machine is trainable. So are you. The question is just who gets there first.