Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders

Navarro, Jorge (Universidad de Zaragoza) ; Aguarón, Juan (Universidad de Zaragoza) ; Moreno-Jiménez, José María (Universidad de Zaragoza) ; Turón, Alberto (Universidad de Zaragoza)

Resumen: In accordance with the cognitive orientation contemplated in the resolution of complex problems posed in public decision-making using decision support systems and social networks, this work studies the possibility of identifying the state of mind of society through the state of mind of network leaders. Using sentiment and emotion analysis as research techniques and Twitter as a representative social network, the study corpus considers tweets and retweets in Spanish about COVID-19 in the period from February 27, 2020 to December 31, 2021. As cognitive orientation claims, the proposed techniques will allow us to extract the arguments that support the different positions and decisions from the analysis of the tweets issued exclusively by social leaders. In the case study considered, the COVID-19 vaccination process in Spain, the reduction in the number of tweets′ authors (more than 8,000) to the network leaders (just 8) was greater than 99 %; and the subsequent reduction in the number of associated tweets was greater than 88 % from the 18,193 tweets in society to the 2,145 tweets of the eight social leaders. The impressive degree of information compression achieved may be useful to establish new directions of social mood analysis applied to healthcare and business management.

Idioma: Inglés

DOI: 10.1016/j.heliyon.2023.e23958

Año: 2023

Publicado en: Heliyon 10, 1 (2023), e23958 [14 pp.]
ISSN: 2405-8440

Factor impacto JCR: 3.4 (2023)

Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 28 / 134 = 0.209 (2023) - Q1 - T1

Factor impacto CITESCORE: 4.5 - Multidisciplinary (Q1)

Factor impacto SCIMAGO: 0.617 - Multidisciplinary (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/S35-23R
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP 35-21
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2022-139863OB-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Economía Aplicada)