Quotation Hatami, Zahra, Hall, Margeret, Thorne, Neal. 2021. Identifying Early Opinion Leaders on COVID-19 on Twitter. In HCI International 2021 - Late Breaking Papers: Design and User Experience, Hrsg. Constantine Stephanidis et al. 280-297. Luxemburg: Springer.




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.


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Publication's profile

Status of publication Published
Affiliation External
Type of publication Contribution to conference proceedings
Language English
Title Identifying Early Opinion Leaders on COVID-19 on Twitter
Title of whole publication HCI International 2021 - Late Breaking Papers: Design and User Experience
Editor Constantine Stephanidis et al.
Page from 280
Page to 297
Location Luxemburg
Publisher Springer
Year 2021
ISBN 978-3-030-90327-5
URL https://link.springer.com/chapter/10.1007/978-3-030-90238-4_20
Open Access Y
Open Access Link https://link.springer.com/chapter/10.1007/978-3-030-90238-4_20


Hall, Margeret (Details)
Hatami, Zahra (University of Nebraska, United States/USA)
Thorne, Neal (University of Nebraska, United States/USA)
Institute for Cognition & Behavior IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1127 Information science (Details)
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