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Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News

open access: yesSocial Media + Society, 2020
Artificial Intelligence (AI) now enables the mass creation of what have become known as “deepfakes”: synthetic videos that closely resemble real videos.
Cristian Vaccari, Andrew Chadwick
doaj   +2 more sources

Audio deepfakes: A survey

open access: yesFrontiers 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
doaj   +2 more sources

False failures, real distrust: the impact of an infrastructure failure deepfake on government trust [PDF]

open access: yesFrontiers in Psychology
Deepfakes 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]

open access: yesScientific Reports
The 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

Threat of deepfakes to the criminal justice system: a systematic review

open access: yesCrime Science
Background This systematic review explores the impact of deepfakes on the criminal justice system. Deepfakes, a sophisticated form of AI-generated synthetic media, have raised concerns due to their potential to compromise the integrity of evidence and ...
Maria-Paz Sandoval   +3 more
doaj   +2 more sources

Detecting Deepfakes with Self-Blended Images [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
In this paper, we present novel synthetic training data called self-blended images (SBIs) to detect deepfakes. SBIs are generated by blending pseudo source and target images from single pristine images, reproducing common forgery artifacts (e.g ...
Kaede Shiohara, T. Yamasaki
semanticscholar   +1 more source

Deepfake

open access: yesPro Futuro, 2023
A deepfake is a video, audio or other content (e.g. image) that is completely or partially fabricated or created by manipulating existing, real content. Just as fake news calls into question the authenticity of real news, deepfake also calls into question the authenticity of real content.
Gosztonyi, Gergely   +1 more
openaire   +3 more sources

Perception and deception: Exploring individual responses to deepfakes across different modalities

open access: yesHeliyon, 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

Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors

open access: yesHeliyon, 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.
Anton Firc   +2 more
doaj   +1 more source

Do deepfake videos undermine our epistemic trust? A thematic analysis of tweets that discuss deepfakes in the Russian invasion of Ukraine.

open access: yesPLoS 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

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