This dataset is a subsample of the data used for training CT-BERT, specifically for the period between January 12 and February 24, 2020. Annotators on Amazon Turk (MTurk) were asked to categorise a given tweet text into either being a personal narrative (33.3%) or news (66.7%). The annotation was performed using the Crowdbreaks platform.
Download the file using this link.
We can only share the Tweet IDs. You can download the full tweet objects using the script provided here.
If you end up using this dataset, please cite our pre-print:
@article{muller2020covid,
title={COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter},
author={M{\"u}ller, Martin and Salath{\'e}, Marcel and Kummervold, Per E},
journal={arXiv preprint arXiv:2005.07503},
year={2020}
}or
Martin Müller, Marcel Salathé, and Per E. Kummervold.
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter.
arXiv preprint arXiv:2005.07503 (2020).
If you have questions, please get in touch [email protected].