Deep learning for deepfake detection: Scientific landscape and future directions
Pummy Dhiman, Amandeep Kaur, Dilip Kumar Sharma · Computational Methods in Science and Technology · 2024
In today&s;s digital age, technology has advanced to the point where it is difficult to distinguish be-tween genuine and forged media content. It was intended to be used for entertainment, but it is now being used to deceive people and create biasness, which can lead to disastrous situations. The goal of this bibliometric study is to provide scientific mapping on the role of deep learning in deepfake detection published online. Scopus and VOSviewer are used to create a concept map of 128 articles. Additionally, future directions for research are suggested.