2021
DOI: 10.1007/s11229-021-03379-y
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Video on demand: what deepfakes do and how they harm

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Cited by 31 publications
(25 citation statements)
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“…If deepfakes and CGI footage alike can lead us to form false beliefs from a video, then do we have any reason to think that the former is in any way more problematic than the latter, at least from an epistemic perspective? Perhaps as Keith Raymond Harris ( 2021 ) puts it, the epistemic concerns with deepfakes are ‘overblown? In some respects, Harris is correct; currently, the time taken to create a sophisticated deepfake is usually longer than CGI footage or a Photoshopped picture, and because they are a relatively new technology the quality of deepfakes can vary significantly.…”
Section: Deepfakes and Digital Fake Barnsmentioning
confidence: 99%
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“…If deepfakes and CGI footage alike can lead us to form false beliefs from a video, then do we have any reason to think that the former is in any way more problematic than the latter, at least from an epistemic perspective? Perhaps as Keith Raymond Harris ( 2021 ) puts it, the epistemic concerns with deepfakes are ‘overblown? In some respects, Harris is correct; currently, the time taken to create a sophisticated deepfake is usually longer than CGI footage or a Photoshopped picture, and because they are a relatively new technology the quality of deepfakes can vary significantly.…”
Section: Deepfakes and Digital Fake Barnsmentioning
confidence: 99%
“… 8 There is relatively little work on the epistemology of deepfakes. Notable exceptions include Fallis ( 2020 ), Rini ( 2020 ), Harris ( 2021 ) and Matthews ( 2022 ). …”
mentioning
confidence: 99%
“…Consider that the vast majority of extant deepfakes are pornographic (Ajder et al, 2019 ; Cox, 2019 ). While such deepfakes create a host of moral concerns (Harris, 2021 ; Öhman, 2020 ; Paris & Donovan, 2019 ; Young, 2021 : ch. 11), there is reason to think that the epistemic ill-effects of such deepfakes are limited.…”
Section: Two Accounts Of the Epistemic Threat Of Fakesmentioning
confidence: 99%
“…Let us begin with the limits. Keith Harris ( 2021 ) argues that the epistemic threat of deepfakes is often overstated. This is because the epistemic effects of deepfakes can be substantially mitigated by attention to the channels—including, for some examples, television channels, websites, and Twitter accounts—by which video footage is accessed.…”
Section: The Epistemic Threat Of Fakes: Limits and Defensesmentioning
confidence: 99%
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