Analysis of Deep-Fake Technology Impacting Digital World Credibility: A Comprehensive Literature Review

Dublin Core

Title

Analysis of Deep-Fake Technology Impacting Digital World Credibility: A Comprehensive Literature Review

Subject

Deep learning; Encoder; Decoder Generative adversarial networks (GANs). Question Generation, NLP, Intelligent Tutoring System (ITS.

Description

Deep-Fake Technique is a new scientific method that uses Artificial-Intelligince to make fake videos with an affect of facial expressions and coordinated movement of lips. This technology is frequently employed in a variety of contexts with various goals. Deep-Fake technology is being used to generate an extremely realistic fake video that can be widely distributed to promote false information or fake news about any celebrity or leader that was not created by them. Because of the widespread use of social media, these fraudulent videos can garner billions of views in under an hour and have a significant impact on our culture. Deep-Fakes are a threat to our celebrities, democracy, religious views, and commerce, according to the findings, but they can be managed through rules and regulations, strong company policy, and general internet user awareness and education. We need to devise a process for examining such video and distinguishing between actual and fraudulent footage.

Creator

Mohd Akbar, Mohd Suaib, Mohd Shahid Hussain

Source

www.ijcit.com

Date

April 2022

Contributor

peri irawan

Format

pdf

Language

english

Type

text

Files

Citation

Mohd Akbar, Mohd Suaib, Mohd Shahid Hussain, “Analysis of Deep-Fake Technology Impacting Digital World Credibility: A Comprehensive Literature Review,” Repository Horizon University Indonesia, accessed June 22, 2025, https://repository.horizon.ac.id/items/show/9025.