Results 21 to 30 of about 10,871 (185)
, 2021 Un deepfake o hipertrucatge és un vídeo hiperrealista manipulat digitalment per representar persones que diuen o fan coses que en realitat mai no van succeir. Aquestes representacions sintètiques, generades mitjançant tècniques informatitzades basades en intel·ligència artificial (IA), plantegen serioses amenaces per a la privacitat, en un nou escenari
Maria Pawelec, Cora Bieß
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TECCOGS: Revista Digital de Tecnologias Cognitivas, 2021 O termo “fake news” começou a povoar as mídias sociais, principalmente a partir de 2016, em função das eleições à presidência dos Estados Unidos. Estudos apontam que as notícias falsas acabam tendo um número maior de compartilhamento do que publicações de sites idôneos, podendo inclusive influenciar no resultado da eleição.
Thaïs Helena Falcão Botelho +1 more
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Tragic Realism: How to regulate Deepfakes in Colombia?
Latin American Law Review, 2022 Recent technological advances in artificial intelligence and machine learning have made it possible to create fake videos that look authentic. As these videos—known as “DeepFakes”— leave few traces of manipulation, they can be used to spread false ...
Juan Felipe Rodrigo López
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“Stunning and creepy…I gotta learn this”: Exploring Concepts of Information Ethics in Deepfake Creation Tutorials on YouTube [PDF]
, 2022 Deepfakes combine artificial intelligence with machine deep learning to produce manipulated images and are made to appear hyperrealistic to viewers (Westerlund, 2019), complicating, if not, preventing viewers from separating fact from fiction and eroding
Vera, Alexander
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Frontiers in Psychology, 2023 Deepfakes are a troubling form of disinformation that has been drawing increasing attention. Yet, there remains a lack of psychological explanations for deepfake sharing behavior and an absence of research knowledge in non-Western contexts where public ...
Saifuddin Ahmed +2 more
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Challenges associated with generative forms of multimedia content (keynote talk) [PDF]
, 2019 This short paper presents what is currently the main challenge associated with using Generative Adversarial Networks (GANs) to generate visual media.
Smeaton, Alan F.
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Fooled twice: People cannot detect deepfakes but think they can
iScience, 2021 Summary: Hyper-realistic manipulations of audio-visual content, i.e., deepfakes, present new challenges for establishing the veracity of online content. Research on the human impact of deepfakes remains sparse.
Nils C. Köbis +2 more
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The battle to end fake news: A qualitative content analysis of Facebook announcements on how it combats disinformation [PDF]
, 2019 The recent spread of online disinformation has been profound and has played a central role in the growth of populist sentiments around the world. Facilitating its progression has been politically and economically motivated culprits who have ostensibly ...
Iosifidis, P., Nicoli, N.
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The tensions of deepfakes [PDF]
, 2023 In recent years, deepfakes have become part and parcel of contemporary algorithmic culture. It is regularly claimed that they have the potential to introduce novel modes of societal disruption, violence, and harm.
Jacobsen, Benjamin N., Simpson, Jill
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Cyber Vaccine for Deepfake Immunity
IEEE Access, 2023 Deepfakes pose an evolving cybersecurity threat that calls for the development of automated countermeasures. While considerable forensic research has been devoted to the detection and localisation of deepfakes, solutions for ‘fake-to-real’ ...
Ching-Chun Chang +3 more
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