The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic (IEEE BigData 2020)

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If you make use of this code, the algorithm, or the datasets in your work, please cite the following paper:

@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}
}

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Notes

1. We also find some of the tweets have been deleted. If you need to use the whole dataset for the research project, please contact the author Bing He(bhe46@gatech.edu). We can help you get the data properly.
2. We notice the change of Twitter API, and 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.
3. Given a tweet id, if you want to get the tweet text, the user who sends this tweet and other information, please use Twitter API to pull this information. link .

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Usage of the repo

1. for the code folder, we provide the code to run the classifier.
2. for the data folder, we provide both the annotated tweets and the whole tweet dataset.

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Contact

if you have any questions, please feel free to contact Bing He (bhe46@gatech.edu)