Paper: The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic [PDF]

The whole tweet dataset can be downloaded here.  

1. We notice some original tweets have been deleted. If you want to get the whole tweets where both the tweet text and tweet labels are provided, please contact the author (bhe46@gatech.edu). The whole dataset can be shared with you properly.

2. For the whole dataset, if you have problems with the crawling, and want to get the whole dataset including the tweet text and labels, please contact the author (bhe46@gatech.edu). We shared it with you properly.

3. We notice the change of Twitter API and the sunset of Twitter academic API. Thus, some of you may not have access to the data. If you want to get the whole data, please contact the author Bing He (bhe46@gatech.edu). We can share it with you.

The classifier code is here.

If you have any questions, please feel free to contact the author: Bing He (bhe46@gatech.edu) or visit his homepage: https://binghe2727.github.io/

Please cite the following papers if you use this resource or dataset: 

@inproceedings{micallef2020role,

  title={The role of the crowd in countering misinformation: A case study of the COVID-19 infodemic},

  author={Micallef, Nicholas and He, Bing and Kumar, Srijan and Ahamad, Mustaque and Memon, Nasir},

  booktitle={2020 IEEE International Conference on Big Data (Big Data)},

  pages={748--757},

  year={2020},

  organization={IEEE}

}