SOMPS-Net-Social-graph-framework-for-fake-health-news-detection

This repository contains the code for the paper titled "SOMPS-Net : Attention based social graph framework for early detection of fake health news" which has been accepted at the The 19th Australasian Data Mining Conference 2021, Brisbane, Australia.

The work proposes a novel graph-based framework SOcial graph with Multi-head attention and Publisher information and news Statistics Network (SOMPS-Net) for fake health news detection. The perfomance of the framework was tested on the Fake Health News dataset.

Requirements can be installed using the command:

pip install -r requirements.txt

Publication

You can find our paper [here] (yet to be added).

Authors

Prasannakumaran D, Harish Srinivasan, Sowmiya Sree S, Sri Gayathri Devi I, Saikrishnan S