Literature DB >> 33430428

Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019.

Hilary Piedrahita-Valdés1, Diego Piedrahita-Castillo2, Javier Bermejo-Higuera2, Patricia Guillem-Saiz3,4, Juan Ramón Bermejo-Higuera2, Javier Guillem-Saiz5, Juan Antonio Sicilia-Montalvo2, Francisco Machío-Regidor2.   

Abstract

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.

Entities:  

Keywords:  Twitter; content analysis; machine learning; opinion mining; sentiment analysis; social media; vaccination; vaccine hesitancy

Year:  2021        PMID: 33430428      PMCID: PMC7827575          DOI: 10.3390/vaccines9010028

Source DB:  PubMed          Journal:  Vaccines (Basel)        ISSN: 2076-393X


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7.  COVID-19 Vaccine Hesitancy: Analysing Twitter to Identify Barriers to Vaccination in a Low Uptake Region of the UK.

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8.  Vaccine Hesitancy and Anti-Vaccination Attitudes during the Start of COVID-19 Vaccination Program: A Content Analysis on Twitter Data.

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