Online Advertising and User Privacy

Online Advertising and User Privacy

Assessment

Interactive Video

Business, Social Studies, Computers

9th - 12th Grade

Hard

Created by

Amelia Wright

FREE Resource

The video explores the evolution of advertising from traditional methods to online techniques, focusing on how web cookies and data tracking have transformed ad targeting. It highlights privacy concerns, the impact of data tracking on content visibility, and offers tips for protecting personal information online.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between traditional and online advertising?

Traditional advertising is cheaper.

Online advertising is less effective.

Online advertising can track user behavior.

Traditional advertising uses cookies.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the primary method of measuring ad effectiveness before the internet?

Click-through rates

User surveys

Estimations based on demographics

Geolocation data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What innovation allowed advertisers to track user behavior online?

Animated ads

Pop-up ads

Display ads

Web cookies

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is addressable advertising?

Advertising that is only shown on TV

Advertising that uses pop-up ads

Advertising that targets specific individuals based on their behavior

Advertising that targets broad demographics

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What do Terms and Conditions often include that users might overlook?

Discount codes

Privacy policies

Permissions to use and sell user data

Customer service contacts

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What can companies do with your data according to many Terms of Service agreements?

Only store it securely

Share it with friends

Sell it to third parties

Delete it after use

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do recommendation engines on platforms like Amazon and Netflix function?

They suggest content based on user location.

They randomly suggest content.

They suggest content based on user preferences and past behavior.

They only show the most popular content.

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