Intelligent web archiving and ranking of fake news using metadata-driven credibility assessment and machine learning.

Abrar MF, Saqib M, Alferaidi A, Almuraziq TS, Uddin R, Khan W, Khan ZH

Open source

DOI
10.1038/s41598-025-31583-0
Published
2025 Dec 22
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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BibTeX

@article{allodium:10.1038/s41598-025-31583-0,
  title = {Intelligent web archiving and ranking of fake news using metadata-driven credibility assessment and machine learning.},
  author = {Abrar MF and Saqib M and Alferaidi A and Almuraziq TS and Uddin R and Khan W and Khan ZH},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-31583-0},
  url = {https://doi.org/10.1038/s41598-025-31583-0}
}

RIS

TY  - JOUR
TI  - Intelligent web archiving and ranking of fake news using metadata-driven credibility assessment and machine learning.
AU  - Abrar MF
AU  - Saqib M
AU  - Alferaidi A
AU  - Almuraziq TS
AU  - Uddin R
AU  - Khan W
AU  - Khan ZH
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-31583-0
UR  - https://doi.org/10.1038/s41598-025-31583-0
ER  - 

APA

MF, A., M, S., A, A., TS, A., R, U., W, K., & ZH, K. (2025). Intelligent web archiving and ranking of fake news using metadata-driven credibility assessment and machine learning.. Scientific reports. https://doi.org/10.1038/s41598-025-31583-0

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