Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media

Authors: Jasper Roe, Mike Perkins

Published: 2024-04-24 02:40:58+00:00

AI Summary

This conceptual paper conducts a scoping review of 182 publications on deepfakes, identifying trends in detection methods, malicious applications, and potential benefits. It then proposes a research agenda to investigate deepfakes' impact on higher education, focusing on risks and mitigation strategies across various cultural contexts.

Abstract

The availability of software which can produce convincing yet synthetic media poses both threats and benefits to tertiary education globally. While other forms of synthetic media exist, this study focuses on deepfakes, which are advanced Generative AI (GenAI) fakes of real people. This conceptual paper assesses the current literature on deepfakes across multiple disciplines by conducting an initial scoping review of 182 peer-reviewed publications. The review reveals three major trends: detection methods, malicious applications, and potential benefits, although no specific studies on deepfakes in the tertiary educational context were found. Following a discussion of these trends, this study applies the findings to postulate the major risks and potential mitigation strategies of deepfake technologies in higher education, as well as potential beneficial uses to aid the teaching and learning of both deepfakes and synthetic media. This culminates in the proposal of a research agenda to build a comprehensive, cross-cultural approach to investigate deepfakes in higher education.


Key findings
The review revealed three major trends in deepfake research: detection methods, malicious applications (like misinformation and non-consensual pornography), and potential benefits (like enhanced media production). A significant gap was identified: the lack of research specifically focusing on deepfakes within the context of tertiary education.
Approach
The study performs a scoping review of existing literature on deepfakes and synthetic media to identify trends and gaps in research. Based on this review, it proposes a research agenda focusing on the impact of deepfakes on higher education, including both risks and potential benefits.
Datasets
UNKNOWN
Model(s)
UNKNOWN
Author countries
Singapore, Vietnam