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

Research datakeyboard_double_arrow_right Dataset 13 Jan 2023 English Publisher:ZenodoFunded by:EC | SoBigData-PlusPlus, UKRI | XAIvsDisinfo: eXplainable...

Authors: Yida Mu; Mali Jin; Charlie Grimshaw; Carolina Scarton; Kalina Bontcheva; Xingyi Song;

doi: 10.5281/zenodo.7535228 , 10.5281/zenodo.7601328 , 10.5281/zenodo.7535227

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

- Summary
- Subjects
- Metrics

Abstract

*** Please do not use this version. *** Please use the V2 version via https://zenodo.org/record/7601328 *** ***

Related Organizations

University of Sheffield
United Kingdom

Keywords

Online Social Network data, COVID-19, Vaccine, Vaccine Hesitant, Social Media, Twitter, Computational Social Science

EOSC Subjects

Twitter Data

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average