Results 51 to 60 of about 11,154 (185)
Is Deepfake Diversity Real? : Analyzing the Diversity of Deepfake Avatars [PDF]
Deepfake technology is increasingly integrated into global mobile and web services when human representation is not feasible or cost-effective. Our analysis of 202 deepfake avatars from three deepfake providers reveals significant demographic disparities
Al Tamime, Reham +4 more
core +1 more source
Automation and Augmentation in Theological Perspective
Modern Theology, EarlyView.Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley +1 more source
Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms
IEEE AccessDeepfake 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
Deepfake detection method based on patch-wise lighting inconsistency
网络与信息安全学报, 2023 The rapid development and widespread dissemination of deepfake techniques has caused increased concern.The malicious application of deepfake techniques also poses a potential threat to the society.Therefore, how to detect deepfake content has become a ...
Wenxuan WU, Wenbo ZHOU, Weiming ZHANG, Nenghai YU
doaj +1 more source
DeepFaceLab: A simple, flexible and extensible face swapping framework
, 2020 DeepFaceLab is an open-source deepfake system created by \textbf{iperov} for face swapping with more than 3,000 forks and 13,000 stars in Github: it provides an imperative and easy-to-use pipeline for people to use with no comprehensive understanding of ...
Chervoniy, Nikolay +13 more
core
Truth, Lies, and Copyright [PDF]
, 2019 Fake news may be trending right now, but fake news is not the only source of fake facts that we consume. We encounter fake facts every day in the historical or biographical books we read, the movies we watch, the maps we study, the tele-phone directories
Smith, Cathay Y. N.
core +3 more sources
Cross‐Cultural Validation of the Malevolent Creativity Behavior Scale in 7 Countries
The Journal of Creative Behavior, Volume 60, Issue 1, March 2026.ABSTRACT This study examined the psychometric properties and cross‐cultural validity of the Malevolent Creativity Behavior Scale (MCBS). A total of 2937 participants from Brazil, China, Ghana, Kenya, Peru, the United Kingdom, and the United States completed the 13‐item MCBS.
Cristian Ramos‐Vera +12 more
wiley +1 more source
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis [PDF]
, 2021 Applications of deep learning to synthetic media generation allow the creation of convincing forgeries, called DeepFakes, with limited technical expertise. DeepFake detection is an increasingly active research area.
Bassett, Robert, Lutz, Kevin
core
How New Issues Become Polarized: Partisan Triggers and Subsystem Shopping in Early AI Policymaking
Policy &Internet, Volume 18, Issue 1, March 2026.ABSTRACT Early AI policymaking in the United States appeared bipartisan, but subsequent developments raise the question of whether AI policy will become more polarized over time. To examine how partisanship takes root around novel policy issues, we perform a mixed‐methods study, analyzing survey data from 129 state legislators in 44 states and ...
Robin Jacobson +2 more
wiley +1 more source
Comprehensive multiparametric analysis of human deepfake speech recognition
EURASIP Journal on Image and Video ProcessingIn 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