Combatting Disinformation and Deepfake: Interdisciplinary Insights and Global Strategies

In this era led by Generative AI, any content you see on the internet cannot be trusted for authenticity, a disinformation video spreading like wildfire amongst the masses can do much greater damage than we can imagine, manipulate public opinion, agitate violence, ruin livelihoods, and endorse communal hate. As a defense mechanism usage of remote Photoplethysmography (rPPG), which is capable of capturing cardiovascular data, extract heartbeat signals to temporal PPG maps which when trained on Convolutional Neural Network helps us derive features and patterns observed in different methodologies followed to create deepfakes. Helping not only to detect the particular fake but also to get into the roots of it, making it simpler to detect the source and take necessary actions to catch the perpetrator. New day and age demand strict Law Regulations to prevent disinformation and derogatory deepfakes. This model can help clearly Distinguish Real and Fake apart.