Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media
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Abstract (arXiv)
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 facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 15 of its 116 references that are in the map. First posted on arXiv 24 Apr 2024.
Builds on
15 of 116 references.
References · 15
- 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 233
- 2024VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Timecited by 187
- 2019Realistic Speech-Driven Facial Animation with GANscited by 142
- 2023Testing of Detection Tools for AI-Generated Textcited by 90
- 2020DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythmscited by 65
- 2021Beyond the Spectrum: Detecting Deepfakes via Re-Synthesiscited by 44
- 2021Fighting deepfakes by detecting GAN DCT anomaliescited by 39
- 2020FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstructioncited by 33
- 2020DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimationcited by 29
- 2023Warning: Humans Cannot Reliably Detect Speech Deepfakescited by 20
- 2023Game of Tones: Faculty detection of GPT-4 generated content in university assessmentscited by 16
- 2022Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implicationscited by 14
3 more
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Citing papers per year: 2024: 3; 2025: 1; 2026: 1.
5 papers.
- 2024Generative AI Tools in Academic Research: Applications and Implications for Qualitative and Quantitative Research Methodologiescited by 2
- 2024Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysiscited by 2
- 2026Al'em do Desempenho: Um Estudo da Confiabilidade de Detectores de Deepfakescited by 1
- 2024The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposescited by 0
- 2025A Peek Behind the Curtain: Using Step-Around Prompt Engineering to Identify Bias and Misinformation in GenAI Modelscited by 0
- 2026Al'em do Desempenho: Um Estudo da Confiabilidade de Detectores de Deepfakes13 Jan 2026
- 2025A Peek Behind the Curtain: Using Step-Around Prompt Engineering to Identify Bias and Misinformation in GenAI Models19 Mar 2025
- 2024Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis1 Nov 2024
- 2024Generative AI Tools in Academic Research: Applications and Implications for Qualitative and Quantitative Research Methodologies13 Aug 2024
- 2024The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposes2 Aug 2024