Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders
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 leade...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023111662 |
| _version_ | 1797336887379099648 |
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| author | Jorge Navarro Juan Aguarón José María Moreno-Jiménez Alberto Turón |
| author_facet | Jorge Navarro Juan Aguarón José María Moreno-Jiménez Alberto Turón |
| author_sort | Jorge Navarro |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T09:01:26Z |
| format | Article |
| id | doaj.art-4bdf6628852c4f698f74f9cf89714adc |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-08T09:01:26Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-4bdf6628852c4f698f74f9cf89714adc2024-02-01T06:34:17ZengElsevierHeliyon2405-84402024-01-01101e23958Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leadersJorge Navarro0Juan Aguarón1José María Moreno-Jiménez2Alberto Turón3Grupo Decisión Multicriterio Zaragoza (GDMZ), Department of Applied Economics, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005, Zaragoza, SpainGrupo Decisión Multicriterio Zaragoza (GDMZ), Department of Applied Economics, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005, Zaragoza, SpainGrupo Decisión Multicriterio Zaragoza (GDMZ), Department of Applied Economics, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005, Zaragoza, SpainCorresponding author.; Grupo Decisión Multicriterio Zaragoza (GDMZ), Department of Applied Economics, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005, Zaragoza, SpainIn 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.http://www.sciencedirect.com/science/article/pii/S2405844023111662Decision support systemsHealthcare managementCOVID-19TwitterSentiment analysisSocial mood |
| spellingShingle | Jorge Navarro Juan Aguarón José María Moreno-Jiménez Alberto Turón Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders Heliyon Decision support systems Healthcare management COVID-19 Sentiment analysis Social mood |
| title | Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders |
| title_full | Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders |
| title_fullStr | Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders |
| title_full_unstemmed | Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders |
| title_short | Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders |
| title_sort | social mood during the covid 19 vaccination process in spain a sentiment analysis of tweets and social network leaders |
| topic | Decision support systems Healthcare management COVID-19 Sentiment analysis Social mood |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023111662 |
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