Nobody chooses their feed. The app builds it for them, from what they watched, liked, searched for and spent time on.
Today you will build one. With a partner, you will pick an invented person and make the feed the app would make for them. Then you will teach an AI your own taste and watch it build a feed just for you.
A personalised feed shows posts picked for you from what you watched, liked or searched for. This can create a filter bubble, where you see only a small part of what is online.
Personalisation helps you find things you like, but it can also make bias stronger, because other views stop showing up.
The app picks posts using three signals, or clues. They are what you watch to the end, what you come back to, and what people like you also watched. None of them checks whether a post is true or important.
Work with a partner on one device. Choose one of the people below and build the phone screen their app would build for them. The instructions are in the activity below.
Dara, 15, Ennis. He watches every GAA highlight to the end, skips anything over a minute long and follows three gym accounts.
Leila, 14, Dublin. She watches cooking clips and skincare videos, and she saves everything. She has never once opened a news post.
Tomás, 15, Sligo. He watches gaming clips and phone reviews, and he scrolls straight past anyone talking to the camera.
Aoibhe, 14, Cork. She follows animal rescue accounts and horse riding accounts. She also follows two local pages because her sister works at one.
Marek, 15, Galway. He watches football and music from three countries, and he watches long videos that explain how things work all the way to the end.
Your work saves as you go. Your teacher may put some of the feeds on the board later in the lesson.
Now it is your turn to train the AI that picks the videos. In the activity below, it learns your taste from every tap and builds a feed of 20 videos just for you. The videos are made up, and nothing is saved.
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