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Distinguishing deepfakes from authentic footage now rests on pattern recognition, metadata and provenance checks, and an appreciation for the specific artifacts modern generative models leave behind.
A range of visual cues — inconsistent lighting and shadows, blurred edges and smudged facial regions, mismatched lip and eye behavior, unnatural skin texture or symmetry, and background or reflection ...
Fact‑checkers concluded the circulating protest video was through a mix of automated detection tools, visual forensic cues, and open‑source verification practices — not a single silver‑bullet test — a...