Wirebook

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How does a video app guess what you'll watch next?

About 7 minutes · hands-on · nothing you type leaves your browser unless a button says so

You watch one video about dinosaurs and suddenly your whole screen is dinosaurs. It can feel like the app is reading your mind. It isn't. It's counting: what you finished, what you skipped, and what people who click like you watched next. Here's a tiny pretend video app so you can be the one it learns about, and watch exactly what it writes down.

The guessing machine

This is a pretend video app with 30 videos. It knows nothing about you yet, so it starts with what's popular. Watch a few, skip some, mark one Not interested, and see how the shelf changes. Every card tells you why it was picked. Nothing leaves your browser.

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    Pick something to watch. The machine is ready to take notes.

    It's not mind reading, it's counting

    A video app has millions of videos and room to show you about ten. So a program (an algorithm, which just means a set of steps a computer follows) gives every video a score for you, then shows the top few. The score is built from clues you leave just by using the app. In the machine above there are only three clues: you watched to the end, you skipped, or you said "not interested". Real apps use many more, but the idea is the same.

    The clues real apps count

    Is it reading my brain? Is my phone listening? No to both. The app only sees what you do inside it (and anything you've allowed it to see, like your rough location). Researchers who have gone looking for apps secretly recording conversations to choose adverts haven't found it happening. When a suggestion feels spooky, the usual reason is something you searched, watched, or shared, or something a friend or someone on the same Wi-Fi did, because people near each other often like the same things.

    Why it pulls you down rabbit holes

    Most video apps are built to keep you watching, because that's how they earn money from adverts. So the safest guess is "more of what kept you watching last time". Watch a few dinosaur videos to the end and dinosaurs grab most of the slots. Try it above, and watch the rabbit-hole meter. Good apps deliberately mix in a few wild cards, videos outside your usual topics, so you don't get stuck. Tick "Add a wild card" to see one.

    Taking back the wheel

    1. Say "not interested". Most apps have it hidden behind the three dots on a video. It's a much stronger clue than just scrolling past.
    2. Clear or pause your watch history. Most video apps have both in their settings. Clearing wipes the notebook, so recommendations go back to general popular videos. Pausing means new videos aren't written down. Try both above.
    3. Feed it something new on purpose. Search for a topic you'd like more of and watch a couple of good ones all the way through.
    4. Turn off autoplay if you'd rather choose the next video yourself.

    Words from this lesson

    Earn your stamp

    Get all 3 right to collect the Recommendations stamp. Wrong answers are fine: just try again.

    1. What is usually the biggest clue a video app uses to guess what you like?

    2. The app suggests something totally different from your last video. Why might that be?

    3. You're stuck seeing only one kind of video. What helps most?

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