FN 002

Who Decides What You See

Nobody chose your feed for you. Everybody chose your feed for you. Both are true at once — here is why that matters.

There's a comforting story we tell ourselves about the internet: that we chose what we see. That the algorithm just gives us more of what we already liked. That every video, every headline, every product recommendation is a mirror reflecting who we already were.

That story is wrong in one direction and right in another, and understanding which is which changes how you use every screen in your house.

The technical truth

The algorithms that decide what you see are not neutral. They optimize for one thing: engagement. Not enjoyment. Not satisfaction. Not even attention. Engagement — the specific behavioral signal that you'll keep scrolling, keep clicking, keep watching.

The engineers who built these systems didn't sit down and design them to make you angry, or afraid, or envious. They designed them to maximize a number. It turned out that anger, fear, and envy were the emotions that best hit that number. So the systems learned to prefer content that produced those feelings.

You didn't choose that. Nobody at the company chose it either, not exactly. The system chose it, because the system was told to solve for a specific problem and this was the answer it found.

The human truth

But you also did choose it, in a way that's uncomfortable to sit with. Every video you finished watching. Every post you stopped scrolling on. Every time you clicked "see more." Every one of those was a vote. The algorithm counted it and adjusted.

The thing that catches your eye — the thing that makes you pause even when you didn't mean to — that's not always the thing you'd endorse if someone asked you to describe your values. Your attention has motives that your identity doesn't share.

The practical implication

Once you know both truths, the question isn't "am I being manipulated" (yes) or "is it my fault" (also yes) — it's what to do about it.

The answer isn't to leave the platforms. That's a nice fantasy but you won't do it. The answer is to intervene at the level the system watches: your behavior.

Follow accounts that produce content you'd endorse being seen with. Unfollow the ones that make you feel bad even when they're technically interesting. Use the "not interested" button on every algorithm-served video that catches your eye but not your endorsement. The system will notice. It'll adjust. You are, in aggregate, the training data.

The algorithm doesn't know what you want. It only knows what you did. Change what you do and it'll change what it shows you.

That's the whole game.

Ξ
// SOURCES
  1. Merrill, J. B. & Oremus, W.
    Five points for anger, one for a like: How Facebook's formula fostered rage and misinformation.
    Washington Post, 2021
    READ SOURCE →
  2. Kramer, A. D. I., Guillory, J. E., Hancock, J. T.
    Experimental evidence of massive-scale emotional contagion through social networks.
    PNAS, 2014
    READ SOURCE →
  3. Zuboff, S.
    The Age of Surveillance Capitalism.
    PublicAffairs, 2019
← ALL FIELD NOTES