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How it works2 of 13

Why you're seeing this

Nothing on a screen got there by accident. A company chose it, usually to make money by making you keep looking.

How to explain it, by age

Same idea every time. Pick the version that fits for the child's age, and level up when it requires more complexity.

Ages 4-6

Skip the word "algorithm". Try this instead: "Whoever made this show wants you to keep watching, so they made the next one start all by itself. They chose that for you, without asking you." Keep it to the fact that a person made a choice, because that is the whole idea at this age.

Try this

Watch something together and pause right when the next episode auto-starts. Ask: "Did you pick that? Who did?" Then let her pick the next one out loud, so the difference between being handed something and choosing it is something she has felt rather than been told.

Listen for

Any version of "somebody wanted me to." She needs to know a person is on the other end of the machine.

If the child already has more access than most: If she already uses a tablet alone, add one rule with the explanation attached: "We turn off the part that picks for you, so you get to pick."

Ages 7-9

Now you can name it. "An algorithm is a set of instructions, like a recipe. People wrote a recipe that decides which video you see next. The recipe's job is to keep you watching, because the company earns money from ads while you watch." Seven-year-olds understand recipes and they understand rules, which is all this requires.

Try this

Sit with two different accounts, yours and hers, and search the same word. Compare the top five. The results differ, and she will notice on her own, which is worth a great deal more than being told.

Listen for

"Why did you get different ones than me?" That question means the idea has landed and you can stop explaining.

If the child already has more access than most: If she already has her own account, look at the recommendations together and have her guess which of her past videos caused each one. She will be right more often than you expect.

Ages 10-12

Introduce the money. "These apps are free, so you are not the customer. Advertisers are the customer, and your attention is the product being sold. Nobody is conspiring. That is the business model, and it explains almost every design choice." Then name the choices: autoplay, infinite scroll, streaks, the pull to refresh, notifications timed for when you are most likely to open them.

Try this

Have her find the design feature in an app she uses that exists purely to extend a session. Then have her turn one of them off and use the app for a week. Ask her afterwards whether she used it less, and whether she missed it.

Listen for

Her spotting a design choice you did not point out. That is the skill transferring, and it is the point of the whole exercise.

If the child already has more access than most: For a kid already deep in a platform, go one level further: ask who benefits from each recommendation, and whether the creator, the advertiser and the viewer want the same thing.

Ages 13+

Engagement optimization has second-order effects. A system tuned for attention will favor outrage over nuance, extremes over moderation, and that a body-comparison spiral is very engaging indeed. No engineer sat down and decided this. It emerged from the objective, and that is a more unsettling fact than a villain would be.

Try this

Have him deliberately train a fresh account for a week, engaging only with one narrow topic, then look at what the feed became. Doing it on purpose is how you see the mechanism you cannot see when it happens to you.

Listen for

Recognition that the system has no intent. The sophisticated version drops the evil company for something stranger: an optimizer that does not care.

If the child already has more access than most: Move to the labor and moderation layer: who decides what is allowed, who is paid to look at the worst of it, and what happens in the countries where those decisions are cheapest to make.

The question that works on everything

A kid who can ask “why am I being shown this” has a tool that works on everything she will meet later: recommendation feeds, targeted ads, chatbots, whatever replaces them. Everything else in this curriculum is a variation on it.

It also has a property most media literacy lessons lack. It is checkable. She can run the comparison herself and see the difference with her own eyes, which means she is not taking your word for it. That matters more than it sounds, because a child who has verified one thing about how technology works is much harder to convince that the rest is magic.

The mistake to avoid

Do not turn this into a lesson about how the apps are bad. It backfires, and it is also not quite true. The point is that a system was built with a goal, which is not the same as her goal. Understanding that keeps her curious, and you want a curious kid rather than a kid who hides the device from you because you told her the internet is poison.

Misconceptions to address

  • That the app shows everyone the same thing. It does not. Two kids sitting side by side see different feeds, which is exactly why comparing notes works so well as a demonstration.

  • That it shows you what you like. Closer, but not right. It shows what holds attention, and the things that hold attention are not always the things a person would have chosen.

  • That someone at the company picked this particular video for you. A person wrote the rules and a machine applies them billions of times, which is why nobody at the company can fully explain any single recommendation.

  • Adults get this one wrong too. Plenty of grown-ups still treat their feed as a neutral window on the world rather than a product decision.

Running this with a class

Have every student open the same app on their own device and search the same word, then compare the first five results across the room. The differences do the teaching for you. For a class without devices, run it as a thought experiment with two invented students whose interests you describe, and have the class predict what each one gets shown.

The decision this connects to

  • Decision

    When should our kid get a phone?

    There is no age that flips a switch. Instead, there are questions worth asking, and a few answers most families never consider.

  • Decision

    How do we handle YouTube?

    Two problems share one app – the videos themselves and the machine algorithm that picks the next one. Both need to be addressed.