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RESEARCH PRODUCT
Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019
Francisco Machío-regidorHilary Piedrahita-valdésPatricia Guillem-saizPatricia Guillem-saizDiego Piedrahita-castilloJuan Ramón Bermejo-higueraJavier Bermejo-higueraJavier Guillem-saizJuan Antonio Sicilia-montalvosubject
content analysismedia_common.quotation_subjectsocial mediaImmunologyTwitterScopuslcsh:MedicineArticle03 medical and health sciences0302 clinical medicinePromotion (rank)030225 pediatricsDrug DiscoveryGlobal healthPharmacology (medical)Social media030212 general & internal medicineMisinformationmedia_commonPharmacologySentiment analysislcsh:RvaccinationInfectious DiseasesGeographymachine learningContent analysissentiment analysisDisinformationopinion miningvaccine hesitancyDemographydescription
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 &ge
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-07 | Vaccines |