Results 41 to 50 of about 11,860 (198)

Deepfakes, Online Platforms, and a Novel Proposal for Transparency, Collaboration, and Education [PDF]

open access: yes, 2021
Deepfakes are manipulated media, often synthesized with machine learning, that create realistic digital impersonations, avatars, or derivative images based on pre-existing source material.
Krishna, Dhruva
core   +1 more source

Deepfakes: Trick or treat? [PDF]

open access: yesBusiness Horizons, 2020
Although manipulations of visual and auditory media are as old as the media themselves, the recent entrance of deepfakes has marked a turning point in the creation of fake content. Powered by latest technological advances in AI and machine learning, they offer automated procedures to create fake content that is harder and harder to detect to human ...
Jan Kietzmann   +3 more
openaire   +3 more sources

L’idéologie sémiotique des deepfakes

open access: yesInterfaces Numériques, 2022
L’article promeut une philosophie de la communication orientée sémiotiquement, capable de détecter les idéologies du sens qui sous-tendent les technologies de l’échange symbolique. Leur évolution au cours de l’histoire implique des changements importants
Massimo LEONE
doaj   +1 more source

Pornographic Deepfakes: The Case for Federal Criminalization of Revenge Porn’s Next Tragic Act

open access: yesRussian Journal of Economics and Law, 2020
Objective: to study the problem of pornographic deepfakes - doctored images and videos featuring faces of persons who were not engaged in the acts, and to propose solutions for the problem.Methods: observation, document study, comparison, analysis ...
R. A. Delfino
doaj   +1 more source

Detection of Manipulated Face Videos over Social Networks: A Large-Scale Study

open access: yesJournal of Imaging, 2021
The detection of manipulated videos represents a highly relevant problem in multimedia forensics, which has been widely investigated in the last years.
Federico Marcon   +2 more
doaj   +1 more source

Deepfakes: False Pornography Is Here and the Law Cannot Protect You [PDF]

open access: yes, 2019
It is now possible for anyone with rudimentary computer skills to create a pornographic deepfake portraying an individual engaging in a sex act that never actually occurred. These realistic videos, called “deepfakes,” use artificial intelligence software
Harris, Douglas
core   +1 more source

Do GANs leave artificial fingerprints?

open access: yes, 2018
In the last few years, generative adversarial networks (GAN) have shown tremendous potential for a number of applications in computer vision and related fields.
Gragnaniello, Diego   +3 more
core   +1 more source

On the Horizon: Interactive and Compositional Deepfakes

open access: yes, 2022
Over a five-year period, computing methods for generating high-fidelity, fictional depictions of people and events moved from exotic demonstrations by computer science research teams into ongoing use as a tool of disinformation.
Horvitz, Eric
core   +1 more source

Fooling State-of-the-art Deepfake Detection with High-quality Deepfakes

open access: yesProceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security, 2023
Accepted at IH&MMSec ...
Arian Beckmann   +2 more
openaire   +2 more sources

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy