Frequently asked questions
How do deepfakes work?
To create a deepfake, a bad actor first feeds image or audio samples of a real person into a neural network or generative adversarial network (GAN). These samples are used to train the network, which can then generate synthetic media.
How can a deepfake be identified?
Although deepfakes are becoming harder to detect, some indicators to watch out for include:
- Odd reflections
- Irregular lighting
- Flickering edges
- Inconsistent color or shading
- Small details being out of place
- Audio that’s out of sync