deepfake

DEEP-fayk /ˈdiːp.feɪk/
nounverbC1IELTSTOEFL
digital mediajournalistictechnological

Synthetic digital media in which a person's video, image, or audio likeness is convincingly altered using artificial intelligence.

Combines deep learning with fake media, generating near-imperceptible synthetic visual or vocal impersonations.

The story behind the word. Coined around 2017 on the online platform Reddit by a user named 'deepfakes' who utilized open-source deep learning neural networks (specifically GANs—generative adversarial networks) to swap faces into existing video files.

Word relationships

  • synthetic media: Broader technical category encompassing all AI-generated content.
  • digital forgery: Emphasizes the criminal aspect of forging documents or imagery electronically.
  • authentic footage: Unmodified original audio or video recording.

Commonly confused with

  • shallowfake: A shallowfake uses simple speed adjustments or basic video editing, while a deepfake relies on deep neural networks.

Word family

  • deepfaking (noun): The act of generating AI-manipulated synthetic media.

Collocations

  • deepfake technology
  • detect deepfakes
  • deepfake video
  • deepfake audio

Idioms & expressions

  • digital dopplegänger
  • synthetic media

Example sentences

  • "Experts warned that an advanced deepfake video could be deployed to impersonate corporate executives during wire transfer requests." Cybersecurity
  • "The election commission introduced AI detection tools to identify deepfake audio clips targeting political candidates." Electoral Integrity

Memory hook

DEEP learning creates a convincing FAKE. AI-generated synthetic video or audio forgery.

When not to use

Do not use for traditional photo editing like basic Photoshop touch-ups that do not involve machine learning algorithms.

Fun facts

  • Major news organizations now employ forensic media analysts specifically trained to look for subtle eye-blinking anomalies in deepfake video feeds.
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