Mapping vaccine sentiment: analyzing spanish-language social media posts and survey-based public opinion (Preprint)

Author:

Huguet-Feixa AgnesORCID,Ahmed WasimORCID,Artigues-Barberà EvaORCID,Sol JoaquimORCID,Gomez-Arbones XavierORCID,Godoy PereORCID,Ortega Bravo MartaORCID

Abstract

BACKGROUND

The internet and social media have been considered useful platforms for obtaining health information. However, critical and erroneous content about vaccines on SM has been associated with vaccination delays and refusal.

OBJECTIVE

To determine the profile of the population using social networks to obtain information about vaccines through a survey and to analyze the sentiments and opinions regarding vaccines in Spanish-language posts on the social network X, along with their geolocation.

METHODS

A study was conducted using two methodologies: an observational study in the population of Spain aged 18 years or older, obtaining information through a self-completed electronic questionnaire in 2021, and a second study that analyzed Spanish posts gathered from 'X' between March and December 2021. Orange Data Mining was used to create a workflow for sentiment analysis of the posts. Location-based analysis was conducted by drawing upon self-defined user locations from X, entered into Microsoft PowerBI for analysis. Social network analysis was conducted to identify the nature of the five largest groups of users conversing about vaccinations in Spanish by drawing upon NodeXL Pro.

RESULTS

Among the 1,312 respondents in the survey, 85.7% stated that they were regular social networks users, and 66% reported having encountered antivaccine information on social networks. Among these, 24.3% experienced doubts about receiving recommended vaccines, and of those with doubts, 13.3% refused at least one vaccine proposed by a healthcare professional. A total of 479,734 Spanish posts on X were analyzed, and 54.44% (261,183 posts) were negative, 28.18% were neutral, and 17.37% were positive. Sentiment varied across regions: more negative posts appeared to derive from South America, with a mix in Europe and more positive posts in North America. Analysis of the topic words and key themes allowed the grouping of the predominant themes of the five study groups, which were: vaccination efforts during the COVID-19 pandemic (1), issues of vaccine theft and struggles in managing and securing the vaccine supply (2), campaigns in the State of Mexico (3), vaccination efforts for older adults (4), and the vaccination campaign in Colombia to combat COVID-19 (5).

CONCLUSIONS

High proportions of exposure to antivaccine content were reported by the respondents. Sentiment analysis and geolocation of posts on the social network X revealed a significant amount of negative Spanish posts, predominantly from South America. The thematic analysis of conversations on X proved to be a highly useful tool for understanding the population's opinions about vaccines.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3