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

Nivedita VS, Banu AB

DOI: 10.1038/s41598-025-30299-5
Published: 2025 Dec 4
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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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 = {Nivedita VS and Banu AB},
  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  - Nivedita VS
AU  - Banu AB
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-30299-5
UR  - https://doi.org/10.1038/s41598-025-30299-5
ER  -

APA

VS, N., & AB, 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

pubmed · retrieved 2026-11-10T12:54:38.424Z