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Video verification step by step

Video verification step by step

What should you do if you encounter a suspicious video online? Although there is no golden rule for video verification and each case may present its own particularities, the following steps are a good way to start.

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Digger Deepfake Detection

The Digger project aims to use both visual verification and audio forensic technologies to detect both shallow fakes as well as deepfakes or synthetic media as we call it..

Shallowfakes are manipulated audiovisual content (image, audio, video) generated with ‘low tech’ technologies like Cut & Paste or speed adjustments which, often taken out of context, is extremely convincing.


Deepfakes / Synthetic Media are artificial audiovisual content (image, audio, video) generated with technologies like Machine Learning which is extremely realistic.

The dog that never barked

The dog that never barked

Deepfakes have the potential to seriously harm people’s lives and to deter people’s trust in democratic institutions. They also continue to make the headlines. How dangerous are they really?

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All sorts of video manipulation

All sorts of video manipulation

What is the difference between a ‘face swap’, a ‘speedup’ or even a ‘frame reshuffling’ in a video? At the end of the day they all are manipulations of video content. We want to...

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About The Digger Team

About The Digger Team

The team working on the Digger Project consists of Fraunhofer IDMT (audio forensics technology), Athens Technology Center (product development) and Deutsche Welle (project lead and concept development). The project is co-funded by Google DNI.

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Who We Are

Digger is a project by Deutsche Welle, Fraunhofer IDMT and ATC. Learn more about our team here. The project is made possible by the Google DNI fund.

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