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- W3214839993 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." @default.
- W3214839993 created "2021-12-06" @default.
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- W3214839993 date "2021-01-01" @default.
- W3214839993 modified "2023-09-27" @default.
- W3214839993 title "Identifying Early Opinion Leaders on COVID-19 on Twitter" @default.
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- W3214839993 doi "https://doi.org/10.1007/978-3-030-90238-4_20" @default.
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