Is This a Deepfake? | Human Detection of Political Deepfakes

The video explores a recent MIT Media Lab study on detecting political deepfakes across transcripts, audio, and video. It discusses the challenges of identifying deepfakes, especially as technology improves, and highlights a TikTok example of Tom Cruise deepfakes. The study reveals that people struggle most with text-based detection, while audio and video are easier to identify. It also examines how discordant messaging affects detection accuracy, showing that unexpected subtitles can decrease accuracy in identifying real videos.

What is a deepfake?

• A type of synthetic media created using machine learning algorithms.

• A traditional form of video editing.

• A new social media platform.

• A type of misinformation spread through newspapers.

What is one of the main concerns about the use of deepfakes?

• They are too expensive to produce.

• They can be used to spread misinformation.

• They are only used in entertainment.

• They require special equipment to view.

According to the MIT Media Lab study, which format is the hardest for people to identify as fake?

• Text only

• Video only

• Audio only

• Audio and video with transcript

What aspect of deepfake videos did the study participants find most helpful in identifying fakes?

• Background music

• Lip syncing

• Color grading

• Video resolution

How does discordant messaging affect the perception of media authenticity?

• It improves the quality of the media.

• It makes people less accurate in identifying real media.

• It has no effect on perception.

• It makes people more accurate in identifying fakes.

What was the effect of subtitles on the accuracy of identifying real media?

• Subtitles improved accuracy.

• Subtitles had no effect.

• Subtitles made the media more engaging.

• Subtitles decreased accuracy.

What did the study find about the impact of political assumptions on media perception?

• They improve the ability to detect fake media.

• Political assumptions have no impact.

• They make people more open to changing their beliefs.

• They can lead to less accurate identification of real media.