Reference : Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/53570
Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys
English
Chen, Ninghan mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Chen, Xihui mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Pang, Jun mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Borga, Liyousew mailto [University of Luxembourg > > >]
d'Ambrosio, Conchita mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
Vögele, Claus mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
12-Oct-2022
Proceedings of the 2022 International Conference on Social Informatics
196–210
Yes
International
13th International Conference on Social Informatics
from 19-10-2022 to 21-10-2022
http://hdl.handle.net/10993/53570
10.1007/978-3-031-19097-1_12
FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
SocInfo22.pdfAuthor postprint2.31 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.