Deepfake: The Evolution of fake news
DOI:
https://doi.org/10.33448/rsd-v11i6.29533Keywords:
Deepfake; Artificial Intelligence; Fake news.Abstract
The emergence of new techniques, such as deepfake, has made it possible to manipulate and create new fake video, audio, and image content very similar to the original. This technique can be used to replace the face of a person with another, so as to make somebody say or do things that have never happened. The fake contents generated by this technology are as realistic as the originals, which makes it a powerful weapon in the construction of fake news. Because it is a sophisticated technique, it presents the ability of distorting the truth and causing conflict, risking the reputation of those involved, and creating great harm to them when used for criminal purposes. It is crucial to popularize and spread how deepfakes work in order to broaden the discussion about their misuse. Therefore, this article aims at deepening the studies on deepfake techniques, warning about their existence, their misuse, and the existing solutions to fight them. A bibliographical research was carried out in different sources of information, such as specialized websites, laws, scientific journals, and articles. We have concluded that deepfakes are a variation and the evolution of fake news, with its misuse aiming at generating content to manipulate public opinion could bring serious harm to society. The results have showed that, although technology is neutral as a resource, its use with the purpose of harming people or organizations cannot be controlled, which calls for the creation of laws that curb its misuse.
References
Agence France-Presse. (2019). Pesquisa global revela que 86% dos internautas já acreditaram "fake news". Exame. https://exame.com/brasil/pesquisa-global-revela-que-86-dos-internautas-ja-acreditaram-fake-news/
Alecrim, E. (2019). Facebook decide não excluir deepfake de Mark Zuckerberg no Instagram. Tecnoblog. https://tecnoblog.net/294405/facebook-vai-manter-deepfake-de-mark-zuckerberg/
Almenara, I. (2021). Algoritmo é capaz de desmascarar deepfakes analisando o movimento dos olhos. Canaltech. https://canaltech.com.br/inteligencia-artificial/algoritmo-e-capaz-de-desmascarar-deepfakes-analisando-o-movimento-dos-olhos-180574/
Atheniense, A. (2019) O que é Deepfake? Saiba como funciona e porque tecnologia pode afetar a política. Alexandre Atheniense Advogados. https://www.alexandreatheniense.com.br/o-que-e-deepfake-saiba-como-funciona-e-porque-tecnologia-pode-afetar-a-politica/
Ayyub, R. (2018). I Was The Victim Of A Deepfake Porn Plot Intended To Silence Me. Huffpost. https://www.huffingtonpost.co.uk/entry/deepfake-porn_uk_5bf2c126e4b0f32bd58ba316
Cambridge Dictionary. (n.d.). fake news. In Cambridge Dictionary. Retrieved August 1, 2021, from https://dictionary.cambridge.org/pt/dicionario/ingles/fake-news
Campos, L. V. (2021) "O que são Fake News?". Brasil Escola. https://brasilescola.uol.com.br/curiosidades/o-que-sao-fake-news.htm.
Cancelier, M.(2018). Google cria base de dados com 3 mil deepfakes para ajudar a combatê–los. Mundo Conectado. https://mundoconectado.com.br/noticias/v/10589/google-cria-base-de-dados-com-3-mil-deepfakes-para-ajudar-a-combate-los/mobile/
Chesney, B., & Citron, D. (2019). Deep fakes: A looming challenge for privacy, democracy, and national security. Calif. L. Rev., 107, 1753. https://doi.org/10.2139/ssrn.3213954
Cristaldo, H. (2021) Câmara aprova adesão do Brasil à Convenção sobre Crime Cibernético. Agência Brasil. https://agenciabrasil.ebc.com.br/politica/noticia/2021-10/camara-aprova-adesao-do-brasil-convencao-sobre-crime-cibernetico
Damiani, J. (2019). A Voice Deepfake Was Used To Scam A CEO Out Of $243,000. Forbes. https://www.forbes.com/sites/jessedamiani/2019/09/03/a-voice-deepfake-was-used-to-scam-a-ceo-out-of-243000/?sh=63e99eda2241.
Data Science Academy. (2021). Capítulo 54 – Introdução às Redes Adversárias Generativas (GANs – Generative Adversarial Networks). Deep Learning Book. https://www.deeplearningbook.com.br/introducao-as-redes-adversarias-generativas-gans-generative-adversarial-networks/
Ferrari, D & Senna, F. (2020) Convenção de Budapeste e crimes cibernéticos no Brasil. Migalhas. 2020. https://www.migalhas.com.br/depeso/335230/convencao-de-budapeste-e-crimes-ciberneticos-no-brasil
Galhardi, C. P., Freire, N. P., Minayo, M. C. D. S., & Fagundes, M. C. M. (2020). Fato ou Fake? Uma análise da desinformação frente à pandemia da Covid-19 no Brasil. Ciência & Saúde Coletiva, 25, 4201-4210.https://doi.org/10.1590/1413-812320202510.2.28922020
Gogoni, R. (2021). Era inevitável: deepfake usado como ferramenta de bullying. Meio Bit. https://tecnoblog.net/meiobit/434802/mae-usa-deepfake-prejudica-concorrentes-da-filha/
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020). Generative adversarial networks. Communications of the ACM 63, 11 (November 2020), 139–144. https://doi.org/10.1145/3422622
Greengard, S. (2019). Will deepfakes do deep damage? Communications of the ACM, 63(1), 17-19. https://doi.org/10.1145/3371409
Hall, H. K. (2018). Deepfake videos: When seeing isn't believing. Cath. UJL & Tech, 27, 51. https://scholarship.law.edu/jlt/vol27/iss1/4
Hasan, H. R., & Salah, K. (2019). Combating deepfake videos using blockchain and smart contracts. Ieee Access, 7, 41596-41606. https://doi.org/10.1109/ACCESS.2019.2905689
Huang, D. (2021) Synthetic data generation using Generative Adversarial Networks (GANs): Part 1. Data Science at Microsoft. https://medium.com/data-science-at-microsoft/synthetic-data-generation-using-generative-adversarial-networks-gans-part-1-47ecbf46b575
Korshunov, P., & Marcel, S. (2019, June). Vulnerability assessment and detection of deepfake videos. In 2019 International Conference on Biometrics (ICB) (pp. 1-6). IEEE. https://doi.org/10.1109/ICB45273.2019.8987375
Martins, J. (2017). Metodologia da pesquisa científica. Dowbis.
Merriam Webster. (sd) The Real Story of 'Fake News'. https://www.merriam-webster.com/words-at-play/the-real-story-of-fake-news
Parreira, R. (2021). 80% dos legisladores não sabem o que são deepfakes e as vítimas acumulam-se. Sobretudo mulheres. Sapo. https://tek.sapo.pt/noticias/internet/artigos/80-dos-legisladores-nao-sabe-o-que-sao-deepfakes-e-as-vitimas-acumulam-se-sobretudo-mulheres
Patrini, G., Lini, S., Ivey-Law, H., & Dahl, M. (2018) Commoditisation of AI, digital forgery and the end of trust: how we can fix it. Giorgio Patrini. https://giorgiop.github.io/posts/2018/03/17/AI-and-digital-forgery/
Pecsen, T. (2020). 1 a cada 2 brasileiros afirma já ter compartilhado Fake News sem saber. dfndr blog.https://www.psafe.com/blog/1-a-cada-2-brasileiros-afirma-ja-ter-compartilhado-fake-news-sem-saber/
Robitzski, D. A Spy used a DeepFake photo to infiltrate Linkedin networks. The Byte. https://futurism.com/the-byte/spy-deepfake-photo-infiltrate-linkedin-networks
Schroepfer, M. (2019). Creating a dataset and a challenge for deepfakes. Facebook A.I. https://ai.facebook.com/blog/deepfake-detection-challenge/
Sensity Team. (2019). Mapping the Deepfake Landscape. Sensity. https://sensity.ai/blog/deepfake-detection/mapping-the-deepfake-landscape/
Sensity Team. (2021). How to Detect a Deepfake Online. Sensity. https://sensity.ai/blog/deepfake-detection/how-to-detect-a-deepfake/
Sica, N. (2022). Mais de 65% dos brasileiros não sabem o que é “deepfake”. Kaspersky. https://www.kaspersky.com.br/blog/brasileiros-desconhecem-deepfake/18834/
Siqueira, P. A. R. d. (2019) O ‘Deep Fake’ e a Legislação Brasileira - utilização de instrumentos legais para a proteção à imagem. Conteúdo Jurídico. https://www.conteudojuridico.com.br/consulta/artigo/53256/o-deep-fake-e-a-legislao-brasileira-utilizao-de-instrumentos-legais-para-a-proteo-imagem.
Teixeira, L. A. (2019). Nova lei na China criminaliza deepfakes. GQ. https://gq.globo.com/Prazeres/Poder/noticia/2019/12/nova-lei-na-china-criminaliza-deepfakes.html
Theobald, B. (2019) Deepfakers beware: Do it in California or Texas and you'll be in deep trouble. Fulcrum. https://thefulcrum.us/deepfake-political-video
Viera, E. (2019) Fake News: descentralização das informações e polarização política. Observatório da imprensa. http://www.observatoriodaimprensa.com.br/desinformacao/fake-news-descentralizacao-das-informacoes-e-polarizacao-politica/
Westerlund, M. 2019. The Emergence of Deepfake Technology: A Review. Technology Innovation Management Review, 9(11): 40-53. http://doi.org/10.22215/timreview/1282
Wiggers, K. (2019). Generative adversarial networks: What GANs are and how they’ve evolved. VentureBeat. https://venturebeat.com/2019/12/26/gan-generative-adversarial-network-explainer-ai-machine-learning/
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