Why your feed shows what it shows
Videos, posts and shopping suggestions are chosen for you by AI. Learn how it picks, why it can trap you, and how to take back control.
In 60 seconds
Why your feed shows what it shows
Videos, posts and shopping suggestions are chosen for you by AI. Learn how it picks, why it can trap you, and how to take back control.
What it watches
- What you watch, and for how long
- What you like, share, comment on or save
- What you skip quickly
- What people similar to you enjoy
- Sometimes your location, your language and the time of day
- 1
You watch
You watch three cricket clips to the end. - 2
It learns
The system notes: this person likes cricket clips. - 3
It shows more
Your feed fills with cricket, and with clips that got strong reactions. - 4
The loop grows
You watch more because it is there. The system becomes even more sure.
The filter bubble
Taking back control
- Scrolling whatever comes next
- Watching angry posts to the end
- Only following people who agree with you
- Using search to find what you actually want
- Using "Not interested" or "Don't recommend" on things you don't want
- Following a few trusted sources with different views
Watch and read more
Lab
A one-week feed experiment with notes on what changed.
The problem
Pick one app you use every day.
- Write down the topics of the first 10 items on your feed today.
- For three days, use "Not interested" on things you don't want, and search for two topics you want to see more of (for example a skill you want to learn).
- On day four, write down the first 10 items again.
- Compare the two lists. What changed? What stayed the same?
You are done when
Hard questions
Try to answer before you reveal. If you can answer these, you understood the lesson.
Q1If a feed is designed to keep you watching, why might it not show you what is best for you?Reveal
Because "keeps you watching" and "good for you" are different goals. A shocking or upsetting clip can hold attention longer than a helpful one. The system is not evil; it is chasing the number it was told to chase. When the measure becomes the goal, the results can drift away from what people really want.
Q2Two neighbours search the same news topic and see very different results. Give two reasons.Reveal
First, their past behaviour is different, so each feed is personalised. Second, location, language and device settings can change results. This is why "I saw it everywhere" can mean "my feed showed it everywhere", not "everyone saw it".
Questions people ask
Is my phone secretly recording me to choose ads?
This is a common worry. Apps can learn a lot about you without a microphone: your searches, your location, what you watch and buy, and what similar people do. That is often enough to make a suggestion feel "too perfect". You can check which apps have microphone permission in your phone's Settings.
Can I reset my recommendations?
Many apps let you pause or clear your watch history or search history. After that, the feed often becomes more general for a while and then learns again from what you do next.
Are recommendation systems bad?
Not by themselves. They help you find useful videos, songs and products among millions. The problem comes when their goal (your time and clicks) quietly takes over your own goals.
Why do I see the same fake news again and again?
Because many people reacted to it, and the system rewards reactions. Seeing something often is not proof. Check it with a trusted news source or a fact-checking site before you share.
Lesson test
5 questions. Get 3 right (60%) to pass and complete this lesson.