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Face/Off: Changing the face of movies with deepfakes

There are growing concerns about the potential for deepfake technology to spread misinformation and distort memories, though many also highlight creative applications such as recasting movies using other actors, or younger versions of the same actor. In the current mixed-methods study, we presented...

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Detalles Bibliográficos
Autores principales: Murphy, Gillian, Ching, Didier, Twomey, John, Linehan, Conor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325052/
https://www.ncbi.nlm.nih.gov/pubmed/37410765
http://dx.doi.org/10.1371/journal.pone.0287503
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author Murphy, Gillian
Ching, Didier
Twomey, John
Linehan, Conor
author_facet Murphy, Gillian
Ching, Didier
Twomey, John
Linehan, Conor
author_sort Murphy, Gillian
collection PubMed
description There are growing concerns about the potential for deepfake technology to spread misinformation and distort memories, though many also highlight creative applications such as recasting movies using other actors, or younger versions of the same actor. In the current mixed-methods study, we presented participants (N = 436) with deepfake videos of fictitious movie remakes (such as Will Smith staring as Neo in The Matrix). We observed an average false memory rate of 49%, with many participants remembering the fake remake as better than the original film. However, deepfakes were no more effective than simple text descriptions at distorting memory. Though our findings suggest that deepfake technology is not uniquely placed to distort movie memories, our qualitative data suggested most participants were uncomfortable with deepfake recasting. Common concerns were disrespecting artistic integrity, disrupting the shared social experience of films, and a discomfort at the control and options this technology would afford.
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spelling pubmed-103250522023-07-07 Face/Off: Changing the face of movies with deepfakes Murphy, Gillian Ching, Didier Twomey, John Linehan, Conor PLoS One Research Article There are growing concerns about the potential for deepfake technology to spread misinformation and distort memories, though many also highlight creative applications such as recasting movies using other actors, or younger versions of the same actor. In the current mixed-methods study, we presented participants (N = 436) with deepfake videos of fictitious movie remakes (such as Will Smith staring as Neo in The Matrix). We observed an average false memory rate of 49%, with many participants remembering the fake remake as better than the original film. However, deepfakes were no more effective than simple text descriptions at distorting memory. Though our findings suggest that deepfake technology is not uniquely placed to distort movie memories, our qualitative data suggested most participants were uncomfortable with deepfake recasting. Common concerns were disrespecting artistic integrity, disrupting the shared social experience of films, and a discomfort at the control and options this technology would afford. Public Library of Science 2023-07-06 /pmc/articles/PMC10325052/ /pubmed/37410765 http://dx.doi.org/10.1371/journal.pone.0287503 Text en © 2023 Murphy et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Murphy, Gillian
Ching, Didier
Twomey, John
Linehan, Conor
Face/Off: Changing the face of movies with deepfakes
title Face/Off: Changing the face of movies with deepfakes
title_full Face/Off: Changing the face of movies with deepfakes
title_fullStr Face/Off: Changing the face of movies with deepfakes
title_full_unstemmed Face/Off: Changing the face of movies with deepfakes
title_short Face/Off: Changing the face of movies with deepfakes
title_sort face/off: changing the face of movies with deepfakes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325052/
https://www.ncbi.nlm.nih.gov/pubmed/37410765
http://dx.doi.org/10.1371/journal.pone.0287503
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