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You Didn't Choose That Obsession — The Algorithm Did. Here's How to Take Your Taste Back.

Shay's Net
You Didn't Choose That Obsession — The Algorithm Did. Here's How to Take Your Taste Back.

Think about the last thing you got genuinely, unexpectedly obsessed with. A podcast. A niche creator. A specific music genre you never used to listen to. A show you would have never clicked on in a million years but somehow ended up watching three seasons of.

Now ask yourself honestly: did you find that thing, or did it find you?

Because there's a meaningful difference — and most of us have stopped being able to tell which one is happening.

How the Loop Actually Works

Recommendation algorithms are, on the surface, just trying to keep you engaged. Every platform — TikTok, Spotify, YouTube, Netflix, Instagram, even Pinterest — is running some version of the same basic program: figure out what keeps you watching, listening, clicking, and scrolling, and then serve you more of it.

The problem is that this creates a feedback loop that's almost impossible to see from inside it. You watch one video about a specific topic. The algorithm notes that. It serves you another one. You watch that too. Now it thinks this is a core interest of yours and starts weighting your entire feed toward it. A few weeks later, you're deep in a corner of the internet you never consciously decided to enter — and it feels like you because it's been built incrementally from your own behavior.

This isn't a conspiracy. It's just math. But the effect is genuinely strange: your taste starts to feel less like something you developed and more like something that was quietly assembled around you.

The Difference Between Reflecting and Shaping

Here's a distinction worth making: there's a difference between an algorithm that reflects your existing interests and one that actively shapes new ones.

Reflecting is fine and mostly useful. You like indie folk music, so Spotify shows you more indie folk. Great. That's just a helpful recommendation.

Shaping is where it gets murky. You watched a documentary about true crime once, kind of late at night, maybe when you couldn't sleep. The algorithm logged it as a strong interest signal. Now your feed is 40% true crime content. You keep watching because it keeps showing up and it's easy, not because you're deeply passionate about it. But after three months of this, you'd probably describe yourself as someone who's "really into true crime." Are you, though? Or did the algorithm just build that identity for you out of one bored Tuesday night?

This happens constantly, across every platform, with every category of content. And it's especially powerful with recommendation systems that are optimized for watch time and engagement — because those metrics don't care whether you're genuinely enjoying something or just passively consuming it because it's there.

The "Is This Actually Me" Test

A useful gut check: if the algorithm disappeared tomorrow and you had to actively seek out content, would you still go looking for this stuff?

If the answer is yes — if you'd actually search it out, follow those creators, buy that album — it's probably a real interest. It might have been surfaced by an algorithm, but it connected with something genuine in you.

If the answer is "I don't know, I've never had to think about it" — that's worth paying attention to. Passive consumption isn't the same as actual taste.

Another version of this test: try explaining your current obsessions to someone who doesn't share your feeds. Can you articulate why you love something, or do you just know that you watch it a lot? Genuine enthusiasm usually comes with reasons. Algorithmic drift often just comes with familiarity.

Practical Ways to Reclaim Your Own Taste

This is the part that actually requires some effort, but it's worth it. Here's what works:

Start deliberately, not reactively. Instead of opening an app and seeing what it serves you, try deciding before you open it what you're in the mood for. Search for something specific. Browse a category you chose. The difference between choosing and accepting is small but cumulative.

Use the "not interested" function aggressively. Every major platform has a way to signal that a recommendation missed the mark. Most people never use it. Start using it constantly. You're not just cleaning up your feed — you're actively teaching the algorithm something true about you rather than letting it make assumptions.

Seek out human recommendations. Ask a real friend what they've been into lately. Check out a subreddit where people share finds in a genre you're curious about. Read a music blog. Look at what an artist you already love says they're listening to. Human curation has a texture that algorithmic curation doesn't — it comes with context, enthusiasm, and personality.

Go analog sometimes. Browse a physical record store. Wander through a bookshop without a list. Flip through a magazine. These aren't just nostalgic exercises — they're ways of encountering things without a system pre-filtering them based on your behavioral data.

Do a feed reset. Most platforms let you clear your watch history, reset your recommendations, or start fresh. It's a little nuclear, but if your feed has drifted so far from what you actually want that it's unrecognizable, starting over isn't a bad option.

Follow people who curate, not just create. There are creators whose entire thing is sharing great stuff they've found — music roundups, book recommendations, film deep dives. Following a thoughtful human curator is a way to get recommendations that come from actual taste, not engagement optimization.

Your Taste Is Still in There

None of this means you have to be suspicious of everything you enjoy or spend your whole life second-guessing your own preferences. Most of us have genuine interests that the algorithm has also helped us explore more deeply, and that's fine.

But there's something worth protecting about knowing what you actually like — what you'd choose if no one was optimizing for your attention. That's a piece of your identity that's easy to let drift without noticing.

The algorithm is very good at its job. But its job isn't to know you. Its job is to keep you watching. Those two things look similar from the inside, but they're not the same.

Your taste is yours. It just needs a little room to breathe outside the feed.

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