Data

• CoSMIS: A Hybrid Human-LLM COVID Related Scientific Misinformation Dataset and LLM pipelines for Detecting Scientific Misinformation in the Wild (AAAI 2025)

  1. Paper link: [Link] (Initial Version) 

  2. Dataset Link: https://github.com/InfintyLab/CoSMis-SciNews- 

  3. You can also email us for access at: ksubbala@stevens.edu 

  4. Please don't forget to cite our work

     1. Yupeng Cao, Aishwarya Muralidharan Nair, Elyon Eyimife, Nastaran Jamalipour Soofi, and K. P. Subbalakshmi, "CoSMIS: A Hybrid Human-LLM COVID Related Scientific Misinformation Dataset and LLM pipelines for Detecting Scientific Misinformation in the Wild," AAAI 2025 PDLM Workshop on Preventing and Detecting LLM Misinformation, March 2025.

@inproceedings{COSMIS-25,

title={"CoSMIS: A Hybrid Human-LLM COVID Related Scientific Misinformation Dataset and LLM pipelines for Detecting Scientific Misinformation in the Wild,"}, 

author={Yupeng Cao and Aishwarya Muralidharan Nair and Elyon Eyimife and Nastaran Jamalipour Soofi and K. P. Subbalakshmi},

booktitle={AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation (PDLM)},

year={2025},

}

• MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository  ( ASONAM 2021)

  1. Paper Link: https://arxiv.org/abs/2109.06416 

  2. Dataset Link: https://github.com/InfintyLab/MMCoVaR 

  3. Or email for ksubbala@stevens.edu dataset sharing.

  4. Please cite our work as follows:

@inproceedings{chen2021mmcovar,

  title={MMCoVaR: multimodal COVID-19 vaccine focused data repository for fake news detection and a baseline architecture for classification},

  author={Chen, Mingxuan and Chu, Xinqiao and Subbalakshmi, K.P},

  booktitle={Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining},

  pages={31--38},

  year={2021}

}