Identifying Early Opinion Leaders on COVID-19 on Twitter
23rd International Conference on Human-Computer Interaction , HCII 2021
; 13094 LNCS:280-297, 2021.
Article
in English
| Scopus | ID: covidwho-1565278
ABSTRACT
This study aims to empirically identify opinion leaders on Twitter from the lens of Innovation Diffusion theory. We analyzed pandemic-specific tweets from casual users as well as from the US President to map their conversation for the purpose of finding opinion leaders over a three month period at the onset of the pandemic. By applying network analysis following with cluster enrichment as well as sentiment analysis, we recognize potential thought leaders, but we could not find strong evidence for opinion leaders according to the Innovation Diffusion theory. We interpret that users tweet for two different purposes - tweets to elicit agreement and tweets to elicit debate. © 2021, Springer Nature Switzerland AG.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
23rd International Conference on Human-Computer Interaction , HCII 2021
Year:
2021
Document Type:
Article
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