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==Explanation==
 
==Explanation==
  
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A {{w|deepfake}} is an altered video, designed to deceive, by replacing a person in a video with someone else. [[White Hat]] believes that this technology will make it difficult to trust video evidence from now on. However, [[Cueball]] responds by saying that "fakes" have always existed, in photos (either through {{w|photoshopping|alterations by software such as Adobe Photoshop}}, or deliberately staging faked images, for example {{w|Loch Ness Monster#%22Surgeon's photograph%22 (1934)|of the Loch Ness Monster}}) and even more so by people simply lying. White Hat comes around to Cueball's position and says that even the written word is prone to deception and lying.
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A {{w|deepfake}} is an altered video, designed to deceive, by replacing a person in a video with someone else. [[White Hat]] believes that this technology will make it difficult to trust video evidence going forward. However, [[Cueball]] responds by saying that "fakes" have always existed, in photos (either through {{w|photoshopping|alterations by software such as Adobe Photoshop}}, or deliberately staging faked images, for example {{w|Loch Ness Monster#%22Surgeon's photograph%22 (1934)|of the Loch Ness Monster}}) and even more so by people simply lying. White Hat comes around to Cueball's position and says that even the written word is prone to deception and lying.
  
 
Scientific studies of deepfakes have produced surprising results, suggesting that they are more likely to increase uncertainty than persuade,[https://journals.sagepub.com/doi/full/10.1177/2056305120903408] that their increased prevalence could inoculate the public against {{w|disinformation}},[https://dspace.cuni.cz/handle/20.500.11956/150489] and that they are more likely to be shared because of their humorousness than persuasiveness.[http://essay.utwente.nl/91654/] Other studies have found that deepfakes are persuasive, especially among those who are unfamiliar with them.[https://www.liebertpub.com/doi/abs/10.1089/cyber.2020.0174][https://www.osti.gov/biblio/1780812]
 
Scientific studies of deepfakes have produced surprising results, suggesting that they are more likely to increase uncertainty than persuade,[https://journals.sagepub.com/doi/full/10.1177/2056305120903408] that their increased prevalence could inoculate the public against {{w|disinformation}},[https://dspace.cuni.cz/handle/20.500.11956/150489] and that they are more likely to be shared because of their humorousness than persuasiveness.[http://essay.utwente.nl/91654/] Other studies have found that deepfakes are persuasive, especially among those who are unfamiliar with them.[https://www.liebertpub.com/doi/abs/10.1089/cyber.2020.0174][https://www.osti.gov/biblio/1780812]

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