VaxxHesitancy: A dataset for studying hesitancy towards COVID-19 vaccination on Twitter

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Mu, Y., Jin, M., Grimshaw, C. et al. (3 more authors) (2023) VaxxHesitancy: A dataset for studying hesitancy towards COVID-19 vaccination on Twitter. In: Lin, Y.-R., Cha, M. and Quercia, D., (eds.) Proceedings of the International AAAI Conference on Web and Social Media. Seventeenth International AAAI Conference on Web and Social Media, 05-08 Jun 2023, Limassol, Cyprus. Association for the Advancement of Artificial Intelligence (AAAI) , pp. 1052-1062. ISBN 9781577358794

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Lin, Y.-R.
  • Cha, M.
  • Quercia, D.
Copyright, Publisher and Additional Information:

© 2023, Association for the Advancement of Artificial Intelligence.

Keywords: Subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction, linguistic analyses of social media behavior, Web and Social Media, Social network analysis; communities identification; expertise and authority discovery
Dates:
  • Published: 2 June 2023
  • Published (online): 2 June 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
UK RESEARCH AND INNOVATION
101070093 10039055
Depositing User: Symplectic Sheffield
Date Deposited: 14 Feb 2025 10:39
Last Modified: 14 Feb 2025 10:48
Status: Published
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
Refereed: Yes
Identification Number: 10.1609/icwsm.v17i1.22213
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
Open Archives Initiative ID (OAI ID):

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