Results 41 to 50 of about 8,150 (174)
A Survey on Deepfake Video Detection
Recently, deepfake videos, generated by deep learning algorithms, have attracted widespread attention. Deepfake technology can be used to perform face manipulation with high realism.
Peipeng Yu +3 more
doaj +1 more source
Deepfakes Generation and Detection: A Short Survey
Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer
Zahid Akhtar
doaj +1 more source
Which Evaluation Strategies Help Students Spot Visual Misinformation on Social Media?
ABSTRACT Background The rapid spread of visual misinformation online, intensified by advances in generative artificial intelligence, presents new challenges for adolescents' digital information literacy. Although students' difficulties in evaluating online information are well documented, little is known about how they assess different forms of visual ...
Shai Goldfarb Cohen +4 more
wiley +1 more source
Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms
Deepfake content-including audio, video, images, and text-synthesized or modified using artificial intelligence is designed to convincingly mimic real content.
Gunwoo Lee +6 more
doaj +1 more source
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han +3 more
wiley +1 more source
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection
Click on the DOI link to access this conference paper (may not be free).Presented at the 26th International Conference on Pattern Recognition, ICPR 2022, August 21-25, 2022Facial forgery by deepfakes has raised severe societal concerns. Several solutions
Rattani, Ajita, Nadimpalli, Aakash Varma
core +1 more source
Familiarity With Famous Faces and the Detection of AI‐Generated Images
ABSTRACT Artificial intelligence tools can generate face images that are indistinguishable from real photographs. This finding extends to familiar faces, where prior familiarity provides only limited improvements in detecting synthetic images. Here, we investigated whether familiarity benefits detection across multiple images of individual famous faces.
Robin S. S. Kramer, Meg R. Underwood
wiley +1 more source
Imagination Will Not Be Automized: On AI Image Generators and Epistemic Oppression
Constellations, EarlyView.
Sarah Abel
wiley +1 more source
Vernacular Futurism: How Persian Language Users Imagine AI
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
Comprehensive multiparametric analysis of human deepfake speech recognition
In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research.
Kamil Malinka +5 more
doaj +1 more source

