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Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys
Chen, Ninghan; Chen, Xihui; Pang, Jun et al.
2022In Proceedings of the 2022 International Conference on Social Informatics, p. 196–210
Peer reviewed
 

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Disciplines :
Computer science
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)
External co-authors :
no
Language :
English
Title :
Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys
Publication date :
12 October 2022
Event name :
13th International Conference on Social Informatics
Event date :
from 19-10-2022 to 21-10-2022
Audience :
International
Journal title :
Proceedings of the 2022 International Conference on Social Informatics
Pages :
196–210
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Available on ORBilu :
since 10 January 2023

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