Results 11 to 20 of about 1,207 (163)

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

Dealing with deepfakes – an interdisciplinary examination of the state of research and implications for communication studies

open access: yesStudies in Communication, Media, 2021
Using artificial intelligence, it is becoming increasingly easy to create highly realistic but fake video content - so-called deepfakes. As a result, it is no longer possible always to distinguish real from mechanically created recordings with the naked ...
Alexander Godulla   +2 more
doaj   +1 more source

Deepfakes and scientific knowledge dissemination

open access: yesScientific 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

open access: yesElectronics 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

Using deepfakes for experiments in the social sciences - A pilot study

open access: yesFrontiers in Sociology, 2022
The advent of deepfakes - the manipulation of audio records, images and videos based on deep learning techniques - has important implications for science and society. Current studies focus primarily on the detection and dangers of deepfakes. In contrast,
Andreas Eberl   +2 more
doaj   +1 more source

DEEPFAKE CLI: Accelerated Deepfake Detection Using FPGAs

open access: yes, 2023
Because of the availability of larger datasets and recent improvements in the generative model, more realistic Deepfake videos are being produced each day. People consume around one billion hours of video on social media platforms every day, and thats why it is very important to stop the spread of fake videos as they can be damaging, dangerous, and ...
Omkar Bhilare   +5 more
openaire   +2 more sources

DeepFake-o-meter: An Open Platform for DeepFake Detection [PDF]

open access: yesCoRR, 2021
In recent years, the advent of deep learning-based techniques and the significant reduction in the cost of computation resulted in the feasibility of creating realistic videos of human faces, commonly known as DeepFakes. The availability of open-source tools to create DeepFakes poses as a threat to the trustworthiness of the online media. In this work,
Yuezun Li   +4 more
openaire   +3 more sources

Tragic Realism: How to regulate Deepfakes in Colombia?

open access: yesLatin 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
doaj   +1 more source

Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: Evidence from eight countries

open access: yesFrontiers 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
doaj   +1 more source

Deep Learning Approach for Detecting Audio Deepfakes in Urdu

open access: yesNUML International Journal of Engineering and Computing, 2023
The application of Deep Learning algorithms for speech synthesis has led to the widespread generation of Audio Deepfakes, which are becoming a real threat to voice interfaces. Audio Deepfakes are fake audio recordings that are difficult to differentiate
Marium Mateen
doaj   +1 more source

Home - About - Disclaimer - Privacy