Lesson plan; Detecting deepfakes — don’t be fooled by disinformation

What is deepfake technology?

  • Deepfakes use deep learning artificial intelligence to replace the likeness of one person with another in video and other digital media.
  • There are concerns that deepfake technology can be used to create fake news and misleading, counterfeit videos.

The term “deepfake” comes from the underlying technology “deep learning,” which is a form of AI. Deep learning algorithms, which teach themselves how to solve problems when given large sets of data, are used to swap faces in video and digital content to make realistic-looking fake media.

There are several methods for creating deepfakes, but the most common relies on the use of deep neural networks involving autoencoders that employ a face-swapping technique. You first need a target video to use as the basis of the deepfake and then a collection of video clips of the person you want to insert in the target.  Source: Insider.

This Lesson plan is from the PBS Newshour and you can find it here.


Students will learn about the different types of “deepfake” techniques, how to identify fake videos created by artificial intelligence and the positive and negative uses of the technology. They will also explore solutions to protect consumers. Students will be able to answer the following questions:

  1. What is a “deepfake” and how is it created?
  2. What are the five types of deepfakes?
  3. What are positive and negative applications of the technology?
  4. How can one identify a deepfake?

Watch this video in class

Read through this Reuters lesson about deep fake technology and answer the following questions.

Link to Student handout

Click on this poster MISINFORMATION and listen to at least 3 different students. Make your own video for your class.

Read the links below and write a short informative article about the issue. Target group, students in your school.


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