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Article Dans Une Revue Management & Data Science Année : 2020

Influencers and covid_19: Characterizing and defining courses of action

Romain Boulet
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Résumé

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
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Dates et versions

halshs-02871287 , version 1 (17-06-2020)

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  • HAL Id : halshs-02871287 , version 1

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Romain Boulet, Jean-Fabrice Lebraty. Influencers and covid_19: Characterizing and defining courses of action. Management & Data Science, 2020, 4 (4). ⟨halshs-02871287⟩
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