Unmasking the Rise of Deepfakes: A Machine Learning Approach to Detection and Social Media Trend Analysis
Chaminda Wijesinghe – Department of Computer & Data Science, NSBM Green University, Sri Lankachamindaw@nsbm.ac.lk Henrik Hansson – Department of Computer & Systems Sciences, Stockholm University, Sweden.henrik.hansson@dsv.su.se Abstract: The increasing prevalence of deepfake videos poses significant threats to information integrity, political stability, and public trust. This study presents a dual-faceted approach: (1) developing a machine learning…