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Her origin includes her starting her dancing career ever since she was 3 years old, and has been doing it ever since. When she got to a talent show, she was actually chosen to be a Kpop trainee during the time and later was put into the group TWICE. Obviously she was very popular and was given the title of 20 th most popular idol in Korea. Thus she made something very special for her fans and future fans as well! But she gets real sensual as she slowly strips for you on camera as you touch yourself along to this TWICE Momo nsfw celeb video. Eventually taking off her bra in this TWICE Momo deep fake porn, you get to see her bare tits and she smiles for the camera knowing you love her. Also as she gets down to almost wearing nothing she pulls out this super sexy maid costume for this TWICE Momo celeb fakes, looking like a very sexy nurse you want to fuck even harder. Showing off her body wearing the fishnets in this TWICE Momo fake porn she starts masturbating for you, moaning slowly and rubbing herself faster as she gets into the rhythm. In addition she also molests her tits as well, which are such a great size that you will want to suck and squeeze on.
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Deepfakes a portmanteau of " deep learning " and "fake"  are synthetic media  in which a person in an existing image or video is replaced with someone else's likeness. While the act of faking content is a not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive. Deepfakes have garnered widespread attention for their uses in celebrity pornographic videos , revenge porn , fake news , hoaxes , and financial fraud. Photo manipulation was developed in the 19th century and soon applied to motion pictures. Technology steadily improved during the 20th century, and more quickly with digital video. Deepfake technology has been developed by researchers at academic institutions beginning in the s, and later by amateurs in online communities. Academic research related to deepfakes lies predominantly within the field of computer vision , a subfield of computer science. Contemporary academic projects have focused on creating more realistic videos and on improving techniques.