Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys

Reference : Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/53570

Title :	Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys
Language :	English
Author, co-author :	Chen, Ninghan [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Chen, Xihui [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Pang, Jun [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Borga, Liyousew [University of Luxembourg > > >]
	d'Ambrosio, Conchita [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
	Vögele, Claus [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
Publication date :	12-Oct-2022
Journal title :	Proceedings of the 2022 International Conference on Social Informatics
Pages :	196–210
Peer reviewed :	Yes
Audience :	International
Event name :	13th International Conference on Social Informatics
Event date :	from 19-10-2022 to 21-10-2022
Permalink :	http://hdl.handle.net/10993/53570
DOI :	10.1007/978-3-031-19097-1_12
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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Open access	SocInfo22.pdf		Author postprint	2.31 MB	View/Open

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