The Influence of Ethical Perception and Digital Literacy on Attitudes and the Impact of Deepfakes on Academic Data Manipulation

Abstract

This study investigates the influence of perceived ethics and digital literacy on attitudes towards deepfake technology and its implications for academic data manipulation. Digital literacy is defined as the ability to critically access, analyze, evaluate and create digital information, which is important in navigating the challenges posed by manipulative technologies such as deepfake. This research highlights that attitudes towards such technologies are shaped by perceived usefulness and moral considerations, suggesting a complex relationship between digital skills and ethical behavior. Furthermore, the research emphasizes the importance of cognitive load management in digital literacy, as individuals must balance their cognitive resources when engaging with digital content. By applying the Technology Acceptance Model, the research explains how beliefs about the consequences of technology influence users' attitudes and behaviors, which ultimately affect academic integrity. The findings underscore the need for improved digital literacy education that incorporates ethical considerations to mitigate the risks associated with deepfake technology in academic settings.