An AI-driven conceptual framework for detecting fake news and deepfake content: a systematic review.

Moyo BV, Tuyikeze T, Matsebula F, Obagbuwa IC

DOI: 10.3389/frai.2026.1737790
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1737790,
  title = {An AI-driven conceptual framework for detecting fake news and deepfake content: a systematic review.},
  author = {Moyo BV and Tuyikeze T and Matsebula F and Obagbuwa IC},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1737790},
  url = {https://doi.org/10.3389/frai.2026.1737790}
}

RIS

TY  - JOUR
TI  - An AI-driven conceptual framework for detecting fake news and deepfake content: a systematic review.
AU  - Moyo BV
AU  - Tuyikeze T
AU  - Matsebula F
AU  - Obagbuwa IC
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1737790
UR  - https://doi.org/10.3389/frai.2026.1737790
ER  -

APA

BV, M., T, T., F, M., & IC, O. (2026). An AI-driven conceptual framework for detecting fake news and deepfake content: a systematic review.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1737790

Source records

pubmed · retrieved 2026-09-25T13:57:58.618Z