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Frontiers in Big Data, 2023 A deepfake is content or material that is synthetically generated or manipulated using artificial intelligence (AI) methods, to be passed off as real and can include audio, video, image, and text synthesis.
Zahra Khanjani +2 more
exaly +3 more sources
Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors
Heliyon, 2023 Deepfakes present an emerging threat in cyberspace. Recent developments in machine learning make deepfakes highly believable, and very difficult to differentiate between what is real and what is fake.
Petr Hanacek +2 more
exaly +3 more sources
Social Media and Society, 2020 Artificial Intelligence (AI) now enables the mass creation of what have become known as “deepfakes”: synthetic videos that closely resemble real videos.
Andrew Chadwick, Cristian Vaccari
exaly +2 more sources
“It’s Up to Me Whether I Do—Or Don’t—Watch Deepfakes”: Deepfakes and Behavioral Intention
SAGE OpenThe rapid spread of disinformation and misinformation created by deepfake poses threats and challenges to society. Most studies have analyzed deepfakes in terms of computer science, but there is now a pressing need to study them from the perspective of ...
Wanqi Li
exaly +2 more sources
False failures, real distrust: the impact of an infrastructure failure deepfake on government trust [PDF]
Frontiers in PsychologyDeepfakes today represent a novel threat that can induce widespread distrust more effectively than traditional disinformation due to its potential for greater susceptibility.
Saifuddin Ahmed +3 more
doaj +2 more sources
Novel 59-layer dense inception network for robust deepfake identification [PDF]
Scientific ReportsThe exponential growth of Artificial Intelligence (AI) has led to the emergence of cutting edge methods and a plethora of new tools for media editing. The use of these tools has also facilitated the spread of false information, propaganda, and harassment
Abdullah Alharbi +8 more
doaj +2 more sources
Perception and deception: Exploring individual responses to deepfakes across different modalities
Heliyon, 2023 This study is one of the first to investigate the relationship between modalities and individuals' tendencies to believe and share different forms of deepfakes (also deep fakes).
Saifuddin Ahmed, Hui Wen Chua
doaj +1 more source
PLoS ONE, 2023 Deepfakes are a form of multi-modal media generated using deep-learning technology. Many academics have expressed fears that deepfakes present a severe threat to the veracity of news and political communication, and an epistemic crisis for video evidence.
John Twomey +5 more
doaj +1 more source
Deepfakes and scientific knowledge dissemination
Scientific Reports, 2023 Science misinformation on topics ranging from climate change to vaccines have significant public policy repercussions. Artificial intelligence-based methods of altering videos and photos (deepfakes) lower the barriers to the mass creation and ...
Christopher Doss +7 more
doaj +1 more source
Restore DeepFakes video frames via identifying individual motion styles
Electronics Letters, 2021 Recent advance on highly realistic AI‐synthesised video approaches makes it hard to distinguish whether a speaker in video is real. Many existing DeepFakes detection approaches can be invalidated by using them as supervision in adversarial training ...
Haichao Zhang +3 more
doaj +1 more source