VACUNAS ANTICOVID Y TROMBOSIS: EL MIEDO EN LAS REDES SOCIALES.

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Bibliographic Details
Title:	VACUNAS ANTICOVID Y TROMBOSIS: EL MIEDO EN LAS REDES SOCIALES.
Alternate Title:	Anticovid vaccines and thrombosis: fear in the social networks.
Authors:	Arce-García, Sergio¹ sergio.arce@unir.net, Cano-Garcinuño, María-Isabel² icanog@hotmail.com, Quiles-Cano, Cristina³ cristina.quilescano@gmail.com, Cano-Pérez, Julia⁴ juliacanoperez2@gmail.com
Source:	Revista de Comunicación y Salud. 2024, Vol. 14, p1-19. 19p.
Subjects:	TEXT mining, SENTIMENT analysis, SOCIAL networks, MACHINE learning, DISINFORMATION
Abstract (English):	Background: This article aims to analyse the existing relationship in the Spanish social network Twitter between thrombi and anticovid vaccines. Methods: Machine learning techniques and massive statistical analysis were used to determine the social networks formed their relationships, sentiment and emotion analysis and main discourses by text mining during four months. For this purpose, 915,825 messages discussing thrombosis were collected along the first four months of 2021. Results: We found a very prominent increase in messages around mid-March and a sharp rise in early April, coinciding with detected cases and temporary suspensions of certain vaccines in the United States and Europe. The main of messages came from Spain, although Mexico focuses the debate on Latin America. Conclusions: It was possible to determine an increase in messages with a high emotional charge, mainly negative, as well as disinformative and conspiratorial messages, especially from groups without significant referents. The disseminators of disinformation news about vaccines are sent by small nano-influencers or fake accounts using possible astroturfing techniques. [ABSTRACT FROM AUTHOR]
Abstract (Spanish):	Fundamentos: El presente artículo tiene como objetivo analizar la relación existente en la red social Twitter en español entre trombos y vacunas anticovid. Métodos: Se utilizaron técnicas de machine learning y análisis estadístico masivo para la determinación de redes sociales formadas, sus relaciones, análisis de sentimientos y emociones y discursos principales por minería de texto durante cuatro meses. Para ello se recogieron 915.825 mensajes que hablaran de trombosis a lo largo de los cuatro primeros meses del año 2021. Resultados: Se encontró un aumento muy destacado de mensajes alrededor desde mediados de marzo e incrementándose fuertemente a principios de abril, coincidiendo con los casos detectados y suspensiones temporales de ciertas vacunas en Estados Unidos y Europa. El principal de mensajes procede de España, aunque México centra el debate en Latinoamérica. Conclusiones: Se pudieron determinar un aumento de mensajes de alta carga emocional, principalmente negativa, así como mensajes desinformativos y conspirativos especialmente desde unos grupos sin referentes significativos. Los difusores de noticias de desinformación sobre vacunas son enviados por pequeñas cuentas nano-influencers o cuentas falsas utilizando posibles técnicas astroturfing. [ABSTRACT FROM AUTHOR]
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Database:	MedicLatina

Description
Abstract:	Background: This article aims to analyse the existing relationship in the Spanish social network Twitter between thrombi and anticovid vaccines. Methods: Machine learning techniques and massive statistical analysis were used to determine the social networks formed their relationships, sentiment and emotion analysis and main discourses by text mining during four months. For this purpose, 915,825 messages discussing thrombosis were collected along the first four months of 2021. Results: We found a very prominent increase in messages around mid-March and a sharp rise in early April, coinciding with detected cases and temporary suspensions of certain vaccines in the United States and Europe. The main of messages came from Spain, although Mexico focuses the debate on Latin America. Conclusions: It was possible to determine an increase in messages with a high emotional charge, mainly negative, as well as disinformative and conspiratorial messages, especially from groups without significant referents. The disseminators of disinformation news about vaccines are sent by small nano-influencers or fake accounts using possible astroturfing techniques. [ABSTRACT FROM AUTHOR]
ISSN:	21745323
DOI:	10.35669/rcys.2024.14.e307