In Depth
Deepfakes are generated by face-swap models, voice cloning systems, and video diffusion models. Detection research aims to identify telltale artifacts — unnatural blinking, lighting inconsistencies, audio-visual sync errors — but the technology gap between generation and detection is widening. Legal frameworks around deepfakes are nascent; several jurisdictions have enacted laws targeting malicious uses, while digital watermarking and content provenance standards like C2PA aim to authenticate legitimate media.