2021
DOI: 10.1177/13548565211030454
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Deepfaking Keanu: YouTube deepfakes, platform visual effects, and the complexity of reception

Abstract: On July 14, 2019, a 3-minute 36-second video titled “Keanu Reeves Stops A ROBBERY!” was released on YouTube visual effects (VFX) channel, Corridor. The video’s click-bait title ensured it was quickly shared by users across platforms such as Facebook, Twitter, and Reddit. Comments on the video suggest that the vast majority of viewers categorised it as fiction. What seemed less universally recognised, though, was that the performer in the clip was not Keanu Reeves himself. It was voice actor and stuntman Reuben… Show more

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Cited by 20 publications
(26 citation statements)
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“…In this regard, additional research on the intricacies of media literacy and its impact on deepfake detection may be worthwhile to take into consideration. In among the first few studies to focus on deepfakes designed not with malicious intent but for entertainment at best with monetization opportunities, Bode (2021) analyzes a deepfaked video of Keanu Reeves created by Corridor, a YouTube channel, and the role of the networked public in shaping the discourse surrounding the video and its popularity. In a departure from deepfake analysis predominantly centered on western nations, de Seta (2021) discusses deepfakes in China through the Zao app and communities of practice contributing to deepfake fabrication in the region.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…In this regard, additional research on the intricacies of media literacy and its impact on deepfake detection may be worthwhile to take into consideration. In among the first few studies to focus on deepfakes designed not with malicious intent but for entertainment at best with monetization opportunities, Bode (2021) analyzes a deepfaked video of Keanu Reeves created by Corridor, a YouTube channel, and the role of the networked public in shaping the discourse surrounding the video and its popularity. In a departure from deepfake analysis predominantly centered on western nations, de Seta (2021) discusses deepfakes in China through the Zao app and communities of practice contributing to deepfake fabrication in the region.…”
Section: Discussionmentioning
confidence: 99%
“…, 2022). We also observe instances of online channels creating deepfakes to generate revenue while providing entertainment value (Bode, 2021; Gamage et al. , 2022).…”
Section: Conceptual Framework Of Deepfake Engagementmentioning
confidence: 96%
See 2 more Smart Citations
“…First identified by roboticist Masahiro Mori (1970), in recent years the concept of the uncanny valley has been applied to computer-generated effects in films or deepfake videos circulating on social media that are considered unsettling. Deepfake videos use AI to graft the hyper-realistic physical (and sometimes vocal) likeness – typically of celebrities or politicians – onto a surrogate body and without the figure’s consent (Bedingfield, 2022; Bode, 2021; Fletcher, 2018), with uncanny results for viewers who question their authenticity. Similarly, the hyper-realistic computer-generated human–cat characters in the musical Cats (2019) were critiqued for being too creepy (Lodge, 2019).…”
Section: (Celebrity) Body Horrormentioning
confidence: 99%