This is the official repository of the ICWSM 2023 paper: Combating the COVID-19 Infodemic: Untrustworthy Tweet Classification using Heterogeneous Graph Transformer.

This repo contains 2 folders:

• RTCas-COVID-19: This folder contains the novel COVID-19 Twitter corpus we collected, and will be made publicly available upon acceptance. Details see the README.md file located in this folder.
• RTCS-HGT: This folder contains the source code of our RTCS-HGT model, and will be made publicly available upon acceptance. Details see the README.md file located in this folder.

If you find our method useful, please cite us:

@inproceedings{ai2022combating,
  title={Combating the COVID-19 Infodemic: Untrustworthy Tweet Classification using Heterogeneous Graph Transformer},
  author={Ai, Lin and Liu, Zizhou and Hirschberg, Julia},
  booktitle={Workshop Proceedings of the 17th International AAAI Conference on Web and Social Media},
  year={2023}
}