An Individual's Ability to Correctly Identify a Deepfake
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/148718 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence |
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7160 |
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An Individual's Ability to Correctly Identify a DeepfakeDeepfakesDetection of DeepfakesFake NewsFluencySystem 1 & System 2Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceWith more than half of the planet on social media, it has become a prime source of information. Unfortunately, this also led to fake news spreading at an alarming speed, as shown during the 2016 U.S. elections. There is a new form of disinformation called deepfakes, altered videos through artificial intelligence which will make it impossible to discern fiction from reality. The consequences are severe, with false memories, polarization, and defamation. Current research focuses mostly on the dangers of deepfakes, or how to combat them with the use of several digital technologies. However, there is very little research on how well the general public can identify a deepfake, and if our own biases would hinder us. This paper builds upon the field of research on deepfakes and fake news, showing that repeated exposure makes deepfakes more believable, but an analytical mindset has no effect. High social media usage could be a factor in better identifying deepfakes, which shows that individuals might have the proper repertoire to distinguish deepfakesOrghian, DianaRUNDeira, Joy Esperanza2023-02-06T12:21:04Z2023-01-242023-01-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/148718TID:203220137enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:30:23Zoai:run.unl.pt:10362/148718Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:27.873570Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
An Individual's Ability to Correctly Identify a Deepfake |
title |
An Individual's Ability to Correctly Identify a Deepfake |
spellingShingle |
An Individual's Ability to Correctly Identify a Deepfake Deira, Joy Esperanza Deepfakes Detection of Deepfakes Fake News Fluency System 1 & System 2 Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
An Individual's Ability to Correctly Identify a Deepfake |
title_full |
An Individual's Ability to Correctly Identify a Deepfake |
title_fullStr |
An Individual's Ability to Correctly Identify a Deepfake |
title_full_unstemmed |
An Individual's Ability to Correctly Identify a Deepfake |
title_sort |
An Individual's Ability to Correctly Identify a Deepfake |
author |
Deira, Joy Esperanza |
author_facet |
Deira, Joy Esperanza |
author_role |
author |
dc.contributor.none.fl_str_mv |
Orghian, Diana RUN |
dc.contributor.author.fl_str_mv |
Deira, Joy Esperanza |
dc.subject.por.fl_str_mv |
Deepfakes Detection of Deepfakes Fake News Fluency System 1 & System 2 Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Deepfakes Detection of Deepfakes Fake News Fluency System 1 & System 2 Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-02-06T12:21:04Z 2023-01-24 2023-01-24T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/148718 TID:203220137 |
url |
http://hdl.handle.net/10362/148718 |
identifier_str_mv |
TID:203220137 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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