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IC Revista Cientifica de Informacion y Comunicacion
; 19:565-589, 2022.
Article
in Spanish
| Scopus | ID: covidwho-2274515
ABSTRACT
We present the results of a study thar analizes the collective consciousness generated throught digital conversation on the Twitter network during the COVID-19 pancemic, using opinión mining methodology (Google´s API Natural Language) and text analysys, concluding the value provided by this network as a catalyst for stress and enhancer of antisocial behaviors. © 2022 Departamento de Periodismo I de la Universidad de Sevilla.. All rights reserved.