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 are deepfakes and how are they created?

What concerns are associated with the use of deepfakes in political contexts?

How does the presence of transcripts and audio affect the ability to identify deepfakes?

What were the main findings of the study regarding the identification of deepfakes?

What impact does discordant messaging have on the perception of media authenticity?

How did participants perform in identifying media with subtitles compared to those without?

What implications do the findings of this study have for understanding misinformation?