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Influencers and covid_19: Characterizing and defining courses of action

Romain Boulet () and Jean-Fabrice Lebraty
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Romain Boulet: Centre de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon

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Abstract: Based upon the 55 days of lockdown that occurred during the Covid_19 disaster, the aim of this article is to answer to the following research question: "how can we characterize influencers in social networks?". Analyzing more than 1.6 million of tweets, we propose a matrix that can be used to characterize an influencer. This matrix has 2 dimensions on one hand the five courses of actions an influencer can use and on the other hand the 3 types of motivation he has got. Regarding the methodology we used R and a qualitative content analysis and provided our scripts. This research is a part of the "lockdown lab" project

Keywords: COVID19; Influence; Social Network; Twitter (search for similar items in EconPapers)
Date: 2020-06-16
Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-02871287
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Published in Management & Data Science, Management & Data Science, 2020, 4 (4)

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