Latent themes associated with the appearance of new variants of the coronavirus

Authors

  • Farouk Ait Nasser Universidad Nacional de Educación a Distancia (UNED)

DOI:

https://doi.org/10.5944/ts.2022.34264

Keywords:

COVID-19; LDA; new strain; topic modeling; Twitter

Abstract

In the present work, we carry out an analysis that combines the quantitative and qualitative approach, capable of offering us valid results that help us to evaluate the perception of risk and the setting of priorities that every user has expressed in Spanish via Twitter, regardless of the type of profile or location, during the study period that coincides with the appearance of the new variants of the coronavirus. Through topic modeling, we analyzed a database of 108,134 tweets, in order to identify latent topics. Likewise, when analyzing public reaction using the latent Dirichlet allocation (LDA) method, we obtain consistent results that help us interpret the reaction of Spanish speakers Twitter users. Among the results, it is worth highlighting the lack of interest in the variants of the coronavirus as a scientific matter. Likewise, when registering an interest motivated by the danger they pose, it is observed that the reactions are more associated with political management.

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Published

2022-07-19

How to Cite

Ait Nasser, F. (2022). Latent themes associated with the appearance of new variants of the coronavirus. Tendencias Sociales. Revista de Sociología, (8), 154–176. https://doi.org/10.5944/ts.2022.34264

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Artículos