VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter

We create a publicly available dataset of over 3,100 COVID-19 vaccine-related tweets labeled as one of four stance categories: pro-vaxx, anti-vaxx, vaxx-hesitant, or irrelevant.

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Please use the V2 version.

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We split our dataset into two separate files:

(1) VaccineHesitancy_train_v2.csv (Single + Double annotated)

(2) VaccineHesitancy_test.csv (Double annotated)

We present the details of this dataset here:

VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter (ICWSM 2023)

Our Pre-trained model (GateNLP/covid-vaccine-twitter-bert) : https://huggingface.co/GateNLP/covid-vaccine-twitter-bert

Paper: https://ojs.aaai.org/index.php/ICWSM/article/view/22213/21992

@inproceedings{mu2023vaxxhesitancy,
  title={VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter},
  author={Mu, Yida and Jin, Mali and Grimshaw, Charlie and Scarton, Carolina and Bontcheva, Kalina and Song, Xingyi},
  booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
  volume={17},
  pages={1052--1062},
  year={2023}
}