How to spot a deepfake video: 8 things to check

Good deepfakes are hard to catch, but most still slip up somewhere. Here’s a quick checklist to run before you believe – or share – a video.
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How to spot a deepfake video: 8 things to check

A convincing fake video can now be made in minutes. You won’t catch every one, but most fakes still slip up in small ways. Before you believe – or share – a suspicious clip, run through this checklist.

Check the face first

Almost all high-end deepfakes swap or alter the face, so that’s where to look.

  1. Skin. Is it too smooth, or oddly wrinkled? Does the skin look a different age from the hair and eyes?
  2. Eyes and eyebrows. Do the shadows sit where you’d expect them, given the lighting in the room?
  3. Glasses. Does the glare on the lenses look real, and does it shift naturally when the head moves?
  4. Facial hair. Beards, mustaches and sideburns are hard to fake. Look for edges that blur or flicker.
  5. Moles and marks. Do they look real, and do they stay put?
  6. Blinking. Is the person blinking too much, too little, or in an odd rhythm?
  7. Lips. Does the mouth match the words exactly? Watch the sounds “b”, “m” and “p”, where the lips should close.
  8. Edges. Watch where the face meets the hair, ears and neck – especially when the head turns.

Then check the story

  • Who posted it first? Look for the original source, not a repost.
  • Is anyone reputable reporting it? If a public figure really said something shocking, news outlets will have it.
  • Does it play on your emotions? Fakes are often designed to make you angry or afraid so you share before you think.
  • Search for a still. Take a screenshot and run a reverse image search to see where it really came from.

Remember

No single clue proves a video is fake, and the best fakes may show none of them. Look for several small oddities together – and when in doubt, don’t share.

Researchers are also building automatic detectors. Read about one that uses light: A light-powered AI can screen deepfake videos with almost 98% accuracy.

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