Filter Bubble Trouble

How are filter bubbles created?

• Internet algorithms.

• Companies wanting to target their products to specific audiences.

• Websites wanting to serve personalized content to their users.

• All of the above.

Which statement best describes the negative effects of filter bubbles?

• People will see more advertisements for things they like.

• People might get recommendations for videos or articles they're interested in.

• People are less likely to change their mind about something if they aren't exposed to new ideas.

Trisha is using the internet to research a report on climate change and finds an interesting video. While watching the video, she notices all the videos recommended for her to watch next are about sewing. She had just watched videos on sewing earlier that same day. Why might Trisha be seeing recommendations to watch sewing videos?

• It's just a coincidence.

• It's a glitch. Video sites are supposed to recommend videos related to the one you are watching at the moment.

• It's the default. Video sites recommend the same videos to all users.

• It's intentional. Most video sites show users personalized content.

Deja uses the news app on her phone to follow current events. She noticed the app was recommending news on only a few specific topics. How can Deja break out of her filter bubble?

• Stop using the app.

• Share articles she thinks are interesting.

• Read only the articles that have headlines she agrees with.

• Use the app to search for other topics she might be interested in learning more about.

How confident do you feel in knowing how to break out of your own filter bubbles?

• I feel very confident.

• I feel somewhat confident.

• I don't feel confident.