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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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. |
format | Online Article Text |
id | pubmed-10325052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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