mlsanityData to 14 Oct 2026

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

arXiv 2404.15601 ↗First posted 24 Apr 2024cs.CY cs.AIcited by 5

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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

  1. 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 233
  2. 2024VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Timecited by 187
  3. 2019Realistic Speech-Driven Facial Animation with GANscited by 142
  4. 2023Testing of Detection Tools for AI-Generated Textcited by 90
  5. 2020DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythmscited by 65
  6. 2021Beyond the Spectrum: Detecting Deepfakes via Re-Synthesiscited by 44
  7. 2021Fighting deepfakes by detecting GAN DCT anomaliescited by 39
  8. 2020FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstructioncited by 33
  9. 2020DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimationcited by 29
  10. 2023Warning: Humans Cannot Reliably Detect Speech Deepfakescited by 20
  11. 2023Game of Tones: Faculty detection of GPT-4 generated content in university assessmentscited by 16
  12. 2022Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implicationscited by 14
3 more
  1. 2024GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Educationcited by 14
  2. 2022On the Horizon: Interactive and Compositional Deepfakescited by 13
  3. 2023Finding AI-Generated Faces in the Wildcited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 1; 2026: 1.

5 papers.