Influencers and covid_19: Characterizing and defining courses of action

Romain Boulet (romain.boulet@univ-lyon3.fr) and Jean-Fabrice Lebraty
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Romain Boulet: MAGELLAN - Laboratoire 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.

Date: 2020-09
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Published in Management & Data Science, 2020, ⟨10.36863/mds.a.13620⟩

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Working Paper: Influencers and covid_19: Characterizing and defining courses of action (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04137445

DOI: 10.36863/mds.a.13620

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