Can the human eye identify deepfake content

Researchers from Indiana University developed a training course that enables participants to accurately identify deepfake images. Their accuracy reached 100% after the training, although the results were based on a single model (StyleGAN3) and do not guarantee continued success with new models. While this method may be useful for journalists and fact-checkers, its practical effectiveness for the average user remains debated. This research is considered a proof of concept rather than a ready-to-use solution.

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