Deepfake detection models and methods in artificial intelligence and insights from media and social culture perspective
Purpose: This study explores the phenomenon of deepfakes as a consequence of rapid advancements in artificial intelligence, machine learning, and deep learning technologies over the past decade. The primary objective is to analyze various methods for detecting deepfakes and examine their social and...
Saved in:
Main Authors: | Soheil Fakheri, Azamossadat Nourbakhsh, Mohammadreza Yamaghani |
---|---|
Format: | Article |
Language: | fas |
Published: |
Ayandegan Institute of Higher Education, Tonekabon,
2024-11-01
|
Series: | مدیریت نوآوری و راهبردهای عملیاتی |
Subjects: | |
Online Access: | http://www.journal-imos.ir/article_197125_7693dec5b9996fb454a90b0bb88b999a.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects
by: Naveed Ur Rehman Ahmed, et al.
Published: (2025-01-01) -
SLM-DFS: A systematic literature map of deepfake spread on social media
by: El-Sayed Atlam, et al.
Published: (2025-01-01) -
Advancing GAN Deepfake Detection: Mixed Datasets and Comprehensive Artifact Analysis
by: Tamer Say, et al.
Published: (2025-01-01) -
Explainable AI for DeepFake Detection
by: Nazneen Mansoor, et al.
Published: (2025-01-01) -
Yapay Zeka, Deepfake ve Yeni Nesil Cinsel Suçlar
by: Efe Can Karabulat
Published: (2024-12-01)