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Mis and Dis and Fake Information

Sources for determining "fake" information

What are "Deepfake" videos?

Deepfake, a blend of "deep learning" and "fake",[1] is an artificial intelligence-based human image synthesis technique. It is used to combine and superimpose existing images and videos onto source images or videos using a machine learning technique called a "generative adversarial network" (GAN).[2] The combination of the existing and source videos results in a fake video that shows a person or persons performing an action at an event that never occurred in reality.

Such fake videos can be created to, for example, alter the words or gestures a politician uses to make it look like that person said something they never did. [3] Deepfakes can also be used to create fake news and malicious hoaxes.[4][5 (Wikipedia, February 2019)

"Deepfake" video articles

B. Xu, J. Liu, J. Liang, W. Lu and Y. Zhang, "Deepfake videos detection based on texture features," Computers, Materials & Continua, vol. 68, no.1, pp. 1375–1388, 2021.

Pattison-Gordon, Jule. "Senate Committee Advances Bill to Create Deepfake Task Force." Government Technology Aug 06 2021 Web. .

Schneider, David. "The Subtle Effects of Blood Circulation Can Be Used to Detect Deep Fakes." IEEE Spectrum.  28 Sep. 2020. Web

 "U.S. Intel agencies warn about Deepfake video July 2018. Business Insights: Global. Web. 21 Feb. 2019.

Lyu, Siwei "Detecting Deepfake videos in the blink of an eye."  The Conversation  August 29, 2018

Ellis, Emma Grey "WIRED Guide: Online Conspiracy Theories, Unraveled" Wired vol 26 no. 11 (2018) pp. 28.

Papadopoulou, Olga,, Markos Zampoglou, Symeon Papadopoulos, Ioannis Kompatsiaris "A corpus of debunked and verified user-generated videos", Vol. 43 no.1, pp.72-88, 2019

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