A hybrid contrastive graph neural network framework for fake news and hate speech detection using content and user interaction signals

V. S. Nivedita, A. Bazila Banu

Open source

DOI: 10.1038/s41598-025-30299-5
Published: 2025-12-04
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-30299-5,
  title = {A hybrid contrastive graph neural network framework for fake news and hate speech detection using content and user interaction signals},
  author = {V. S. Nivedita and A. Bazila Banu},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-30299-5},
  url = {https://doi.org/10.1038/s41598-025-30299-5}
}

RIS

TY  - JOUR
TI  - A hybrid contrastive graph neural network framework for fake news and hate speech detection using content and user interaction signals
AU  - V. S. Nivedita
AU  - A. Bazila Banu
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-30299-5
UR  - https://doi.org/10.1038/s41598-025-30299-5
ER  -

APA

Nivedita, V. S., & Banu, A. B. (2025). A hybrid contrastive graph neural network framework for fake news and hate speech detection using content and user interaction signals. Scientific Reports. https://doi.org/10.1038/s41598-025-30299-5

Source records

crossref · retrieved 2026-09-25T13:16:23.662Z