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Detecting AI‑generated deepfake videos and audio on social media requires a layered approach: visual and audio forensic signals, machine‑learning detectors trained on synthetic versus authentic media,...
look for technical markers ranging from low‑level pixel and spectral artifacts to high‑level biological and behavioral signals, and they often combine multimodal clues like metadata and liveness signa...
Researchers in health‑advertising videos combine visual, audio and contextual forensics with to spot artifacts that humans miss, using everything from frequency‑domain traces to physiological signals ...
A practical forensic workflow to determine whether a YouTube video was doctored or deepfaked uses layered automated detection, temporal and multi‑modal analysis, and human‑interpretable forensic revie...