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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 scourge.Securityinfowatch.com 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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