Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives
- DOI
- 10.1109/access.2025.3553909
- Published
- 2025
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2025.3553909,
title = {Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives},
author = {Fiza Gulzar Hussain and Muhammad Wasim and Seemab Hameed and Abdur Rehman and Muhammad Nabeel Asim and Andreas Dengel},
year = {2025},
journal = {IEEE Access},
doi = {10.1109/access.2025.3553909},
url = {https://doi.org/10.1109/access.2025.3553909}
}RIS
TY - JOUR TI - Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives AU - Fiza Gulzar Hussain AU - Muhammad Wasim AU - Seemab Hameed AU - Abdur Rehman AU - Muhammad Nabeel Asim AU - Andreas Dengel PY - 2025 JO - IEEE Access DO - 10.1109/access.2025.3553909 UR - https://doi.org/10.1109/access.2025.3553909 ER -
APA
Hussain, F. G., Wasim, M., Hameed, S., Rehman, A., Asim, M. N., & Dengel, A. (2025). Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives. IEEE Access. https://doi.org/10.1109/access.2025.3553909
Source records
- crossref · retrieved 2026-09-26T18:35:37.706Z