Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019
Autor:
Piedrahita-Valdés, Hilary
; Piedrahita Castillo, Diego
; Bermejo-Higuera, Javier
; Guillem-Saiz, Patricia
; Bermejo Higuera, Juan Ramón
; Guillem-Saiz, Javier
; Sicilia, Juan Antonio
; Machío-Regidor, Francisco
Fecha:
01/2021Palabra clave:
Revista / editorial:
VaccinesTipo de Ítem:
Articulo Revista IndexadaDirección web:
https://www.mdpi.com/2076-393X/9/1/28Resumen:
Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the World Health Organisation. Nowadays, social media has an important role in the spread of information, misinformation, and disinformation about vaccines. Monitoring vaccine-related conversations on social media could help us to identify the factors that contribute to vaccine confidence in each historical period and geographical area. We used a hybrid approach to perform an opinion-mining analysis on 1,499,227 vaccine-related tweets published on Twitter from 1st June 2011 to 30th April 2019. Our algorithm classified 69.36% of the tweets as neutral, 21.78% as positive, and 8.86% as negative. The percentage of neutral tweets showed a decreasing tendency, while the proportion of positive and negative tweets increased over time. Peaks in positive tweets were observed every April. The proportion of positive tweets was significantly higher in the middle of the week and decreased during weekends. Negative tweets followed the opposite pattern. Among users with ≥2 tweets, 91.83% had a homogeneous polarised discourse. Positive tweets were more prevalent in Switzerland (71.43%). Negative tweets were most common in the Netherlands (15.53%), Canada (11.32%), Japan (10.74%), and the United States (10.49%). Opinion mining is potentially useful to monitor online vaccine-related concerns and adapt vaccine promotion strategies accordingly
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
52 |
36 |
43 |
70 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
A New Mail System for Secure Data Transmission in Cyber Physical Systems
Piedrahita Castillo, Diego ; Machio, Francisco ; Bermejo-Higuera, Javier ; Bermejo Higuera, Juan Ramón ; Sicilia, Juan Antonio (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)This paper provides a complete study on email requirements, with special emphasis on its security aspects and architecture. It explores how current protocols have evolved, the environment in which they have been developed ... -
Systematic Approach to Malware Analysis (SAMA)
Bermejo-Higuera, Javier; Abad-Aramburu, Carlos; Bermejo Higuera, Juan Ramón; Sicilia Urban, Miguel Ángel; Sicilia, Juan Antonio (Applied Sciences, 02/2020)Malware threats pose new challenges to analytic and reverse engineering tasks. It is needed for a systematic approach to that analysis, in an attempt to fully uncover their underlying attack vectors and techniques and find ... -
MMALE a methodology for malware analysis in linux environments
de Vicente Mohino, José Javier ; Bermejo-Higuera, Javier; Bermejo Higuera, Juan Ramón; Sicilia, Juan Antonio ; Sánchez Rubio, Manuel ; Martínez Herraiz, José-Javier (Computers, materials and continua, 2021)In a computer environment, an operating systemis prone to malware, and even the Linux operating system is not an exception. In recent years, malware has evolved, and attackers have becomemore qualified compared to a fewyears ...