An Individual's Ability to Correctly Identify a Deepfake

Detalhes bibliográficos
Autor(a) principal: Deira, Joy Esperanza
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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spelling 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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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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