Lesson 1532 of 1570
Bias in the Feed: How AI Curates Your Reality
The recommendation engines deciding what you see — and how to take the wheel.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2recommendation algorithm
- 3filter bubble
- 4engagement metric
Concept cluster
Terms to connect while reading
Section 1
The big idea
Every video, post, and search result you see is filtered by AI ranking systems trained to maximize engagement, not your wellbeing. Two teens with identical interests can end up in radically different worldviews after six months of scrolling. Knowing how the feed works helps you steer it instead of being steered.
Some examples
- Watching a video to the end is the strongest signal you can send — even if you hated it.
- Following a few accounts in a topic you care about reshapes recommendations within days.
- Using 'not interested' on three videos in a row noticeably shifts the feed.
- Search results are personalized too — try the same query in a private window.
Try it!
For one week, actively use 'not interested' or 'show less' on three videos a day. Compare your homepage on day one and day eight.
Key terms in this lesson
End-of-lesson quiz
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