Bias in the Feed: How AI Curates Your Reality

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-bias-in-the-feed-teens-final2-teen

1. What is a filter bubble?

   1. A tool that lets you hide your online activity
   2. A state where someone only sees information that agrees with their existing views
   3. A security feature that blocks dangerous websites
   4. A type of social media account with limited followers

2. What is an engagement metric?

   1. A measurement of how much money a platform makes from ads
   2. A measurement of how fast an algorithm processes data
   3. A measurement of how users interact with content
   4. A measurement of how many servers a platform uses

3. Why does the algorithm consider watching a video to the end a strong signal of interest?

   1. Because the algorithm cannot track other actions
   2. Because finishing a video strongly indicates you were actually interested, more than clicking 'like'
   3. Because the video must have been good
   4. Because the platform wants you to finish everything you start

4. What happens when you click 'not interested' on videos?

   1. You permanently block that creator
   2. You get banned from watching videos
   3. The video is deleted from the platform
   4. The algorithm shows you fewer similar videos

5. What is the primary goal that most recommendation systems are trained to maximize?

   1. User wellbeing and educational value
   2. Balance of different viewpoints
   3. Accuracy of information presented
   4. Time spent on the platform and engagement

6. What does it mean to be 'the algorithm's product'?

   1. The algorithm works for you for free
   2. Your attention and engagement are being sold to advertisers
   3. You own the algorithm and can sell it
   4. You have paid for premium features

7. What makes watching a video to the end a stronger signal than simply clicking 'like'?

   1. Likes are not tracked by the algorithm
   2. Likes are only available on certain videos
   3. The algorithm prioritizes likes for advertising purposes
   4. Watching to the end requires sustained attention, which is harder to fake

8. What does every tap or click on a platform represent?

   1. A payment to the platform
   2. A sign that you are bored
   3. A mistake that the algorithm corrects
   4. A vote that influences what you see in the future

9. Can users influence what the algorithm shows them?

   1. No, algorithms are completely fixed and unchangeable
   2. Only if they pay for premium subscriptions
   3. Yes, through interactions, clicks, and using feedback tools like 'not interested'
   4. Only if they have many followers

10. Why might you see different results when searching the same query in a private window?

    1. Search engines do not work in private windows
    2. The private window has faster internet
    3. Regular windows show results based on your personal browsing history
    4. Private windows show more advertisements

11. Why do recommendation systems prioritize engagement over user wellbeing?

    1. Because higher engagement leads to more ad revenue for the platform
    2. Because users explicitly request entertaining content
    3. Because wellbeing cannot be measured
    4. Because wellbeing is the secondary goal of all AI systems

12. What is the purpose of features like 'show less' or 'not interested'?

    1. To increase the number of ads you see
    2. To punish content creators you don't like
    3. To help the algorithm understand your preferences better
    4. To remove videos from the entire platform

13. Which view of "Bias in the Feed: How AI Curates Your Reality" is most consistent with a balanced take?

    1. The ideas only matter for one specific industry.
    2. It is a real, useful skill worth learning carefully.
    3. Only people with PhDs can apply the ideas correctly.
    4. It is impossible to do anything useful with the topic.

14. Which captures a genuine tradeoff to weigh when applying these ideas?

    1. Speed and convenience can come at the cost of depth, ownership, or skill-building.
    2. Convenience and depth are guaranteed to grow together.
    3. Speed always damages a project beyond repair.
    4. There is never any tradeoff between speed and learning.

15. Which statement best summarizes "Bias in the Feed: How AI Curates Your Reality"?

    1. The recommendation engines deciding what you see — and how to take the wheel.
    2. It argues that the topic is irrelevant outside academic settings.
    3. It claims the subject can be safely ignored by everyday users.
    4. It says the topic is too dangerous to discuss with beginners.