"Did I Choose This or the Algorithm?" How Recommendation Systems Destroy Personal Taste

Recommendation algorithms have quietly taken control of what seemed most personal — our preferences in music, film, fashion, and books. More and more people notice that they find it difficult to answer a simple question: "What do I actually like, versus what the algorithm pushed at me?" The Guardian investigates the scale of this phenomenon and introduces those who decided to resist.

Personal taste as a victim of technology

Two decades ago, a collection of favorite bands, directors, or authors was something like a cultural passport. A person formed taste slowly — through recommendations from friends, random finds in stores, reviews in magazines. It was a living, chaotic, and deeply personal process.

To discover a new band or writer, you had to make an effort — and it was precisely this effort that made the discovery truly yours, not suggested by someone else. Today, algorithms from Spotify, Netflix, TikTok, and Instagram work for us. They analyze billions of behavioral patterns with a single goal: to hold attention as long as possible.

As a result, we consume what is statistically similar to what we've already watched or listened to — and gradually lose the ability to be surprised, to search, and to make genuine, self-directed choices.

The paradox of infinite choice

The authors of The Guardian gathered testimonies from people who asked themselves: "Did I choose this, or did the algorithm do it for me?" Many admit that they can no longer draw this line. Media consumption researchers note a characteristic paradox: with infinite choice, people have come to listen to, watch, and read less diverse content than in the era of physical stores with limited inventory.

• Spotify offers 30 personalized tracks weekly — and most users only listen to them, seeking nothing beyond
• Netflix hides lesser-known films beyond the first two scroll screens
• TikTok can lock a user into a stable "aesthetic bubble" in just a few days
• Instagram algorithms standardize fashion: trending outfits in different countries become indistinguishable from each other
• Amazon's book recommendations are built on sales data, not literary merit

Thus "taste homogenization" is born: people from different cities and countries discover the same albums, wear identical capsule wardrobes, and read the same bestsellers — not because they chose to, but because the algorithm led them to one point.

Those who resist

The article describes people who intentionally rejected recommendation systems — journalists call them "style rebels." Some returned to physical media: vinyl records and paper books, chosen blindly only by cover or description. Others made rules for themselves: not to read reviews before watching a film and not to check charts before buying an album. Still others arranged to exchange recommendations with friends exclusively in person, completely ignoring digital platforms.

"I wanted to feel again that my taste is my taste, not a reflection of

what the algorithm decided to show me," says one of the article's subjects.

This is not Luddism or romantic nostalgia for an analog past. This is conscious resistance to a system that monetizes individuality and transforms cultural choice into predictable, impersonal statistics.

What it means

Algorithmic filtering solved a real problem — information overload in a world with millions of new releases annually. But the side effect turned out to be unexpected: we imperceptibly delegated to machines the formation of our own personality. The answer to the question "who am I" now partly comes from a recommendation system. Recognizing this is the first and perhaps most important step toward reclaiming authorship of your own taste.

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