Combating threat from deepfakes

The video discusses the rise of deep fakes, which are fake digital images and videos created using techniques like face swaps and lip syncing. It explains the technology behind deep fakes, known as generative adversarial networks (GANs). The video also covers how media outlets train journalists to detect deep fakes by using reverse image search engines and video editing tools to identify distortions.

What are deepfakes primarily composed of?

• Fake digital images and videos

• Audio recordings

• Real-time video footage

• Text documents

Which of the following techniques is commonly used in creating deepfakes?

• Voice modulation

• Sound editing

• Color correction

• Face swaps

What is the technology called that is used to create deepfakes?

• Convolutional Networks

• Generative Adversarial Networks

• Recurrent Networks

• Neural Networks

Which tool can journalists use to find older versions of footage?

• Text comparison software

• Audio analysis tools

• Reverse image search engines

• Video editing software

How can reporters detect distortions in videos?

• By examining clips frame by frame

• By checking the metadata

• By analyzing the audio

• By comparing with text transcripts