Fake news detection using supervised learning techniques

S Sangeetha, B Sangeetha, D Sasikumar, M Gayathri, G Sriram, K Nelson, et al.

International Conference on Applied Mechanics, Machine Learning and Advanced · 2023 · cited 1 times

The question behind it

What can a model see that a person cannot?

Projects I have run with undergraduate teams: infection detection in mushroom farms, solar output under cloud cover, fake review and fake news detection, gesture recognition, text summarisation, and carbon-efficient inference in large language models.

A plain-language summary of this paper is on its way here. The full text will follow wherever the publisher permits me to host it.

Cite this paper

@inproceedings{sangeetha2023fake,
  title   = {Fake news detection using supervised learning techniques},
  author  = {S Sangeetha and B Sangeetha and D Sasikumar and M Gayathri and G Sriram and K Nelson and et al.},
  booktitle = {International Conference on Applied Mechanics, Machine Learning and Advanced},
  year    = {2023},
}

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