Recommendation Systems and Filter Bubbles · seed 1 · A4, ink-friendly. The answer key prints on its own page for grown-ups.
How apps guess what you'll like next
Computing · Artificial Intelligence · ages 7-9
Name ______________________ Date ____________
What does a filter bubble describe?
A setting that filters unsafe videos
Suggestions that narrow what you see
A list of every topic the app offers
Which information can a video app use as a clue for a recommendation?
What you watched in the app
An unshared thought
A drawing kept only on paper
Recommendation systems always suggest topics you have never watched before.
Circle one: TrueFalse
Which is a possible benefit of recommendations?
Finding a show with less searching
Always finding your favorite show
Seeing every kind of show at once
Sam watches several cat videos. If the app uses that pattern to suggest a similar topic, which suggestion fits?
A space video
A cooking video
Another cat video
What is a risk when recommendations keep suggesting only one topic?
Getting a list with too many different topics
Missing other topics you might enjoy
Finding different views every time
A shop uses Mia's one sneaker click to suggest sneakers. What can we conclude?
It is using a clue
It knows she will buy shoes
It knows her favorite shoe brand
Leo sees only skateboarding suggestions and wants a different topic. Which action directly looks beyond that list?
Replay the same videos to ask for new topics
Pick more of the same suggested videos
Search for a different topic with an adult
Answer key
For grown-ups. Fold this page away before handing over the rest.
How apps guess what you'll like next W1-mt_EedcpioR0v-s1
Suggestions that narrow what you see · A filter bubble narrows exposure to different topics or views. It is not a safety setting or a complete topic list.
What you watched in the app · Viewing history gives the app information about watched videos. An unshared thought or paper drawing does not provide that information.
False · Suggestions can include familiar or unfamiliar topics. They are not always unfamiliar.
Finding a show with less searching · Recommendations can reduce search time. They do not guarantee a favorite or show every topic at once.
Another cat video · Another cat video matches the watched topic. The question asks for a similar suggestion, not a guaranteed prediction.
Missing other topics you might enjoy · Narrow suggestions can leave other enjoyable topics out of sight. They do not provide a wide mix of topics or views.
It is using a clue · The shop uses the click as a clue. One click does not prove a purchase plan or favorite brand.
Search for a different topic with an adult · Searching for a different topic looks beyond the current suggestions. Replaying or selecting the same material stays with that topic.