Natural Language Processing Experiments for COVID-19 Vaccine Discourse on Social Media

Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse

This repository contains the experiments & code utilized in the following research paper:

Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse

@inproceedings{weinzierl-acs,
	title        = {Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse},
	author       = {Weinzierl, Maxwell and Harabagiu, Sanda},
	year         = 2022,
	booktitle    = {Proceedings of the Web Conference 2022},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	isbn         = 9781450390965,
	url          = {https://doi.org/10.1145/3485447.3512039},
	doi          = {10.1145/3485447.3512039},
	numpages     = 10
}

See CoVaxLies for the full CoVaxLies collection.

Scaling Up the Discovery of Hesitancy Profiles by Identifying the Framing of Beliefs towards Vaccine Confidence in Twitter Discourse

This repository contains the experiments & code utilized in the following research paper:

Scaling Up the Discovery of Hesitancy Profiles by Identifying the Framing of Beliefs towards Vaccine Confidence in Twitter Discourse

@article{weinzierl-framing-profile,
	title        = {Scaling Up the Discovery of Hesitancy Profiles by Identifying the Framing of Beliefs towards Vaccine Confidence in Twitter Discourse},
	author       = {Weinzierl, Maxwell A. and Hopfer, Suellen and Harabagiu, Sanda M.},
	year         = 2021,
	journal      = {medRxiv},
	publisher    = {Cold Spring Harbor Laboratory Press},
	doi          = {10.1101/2021.10.01.21264439},
	url          = {https://www.medrxiv.org/content/early/2021/10/06/2021.10.01.21264439},
	elocation-id = {2021.10.01.21264439},
	eprint       = {https://www.medrxiv.org/content/early/2021/10/06/2021.10.01.21264439.full.pdf}
}

VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines

This repository contains the experiments & code utilized in the following research paper:

VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation about the COVID-19 and HPV Vaccines

See VaccineLies for the full VaccineLies collection.

From Hesitancy Framings to Vaccine Hesitancy Profiles: A Journey of Stance, Ontological Commitments and Moral Foundations

From Hesitancy Framings to Vaccine Hesitancy Profiles: A Journey of Stance, Ontological Commitments and Moral Foundations