Comparing COVID-19 vaccine passports attitudes across countries by analysing Reddit comments

Topic mining and sentiment polarity analysis together can adequately represent the topics and attitudes of users. The goal of this article is to use Reddit’s location-based subreddits to look at country-level differences in attitudes towards COVID-19 vaccine passports. We used sentiment analysis and...

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Bibliographic Details
Published in:Journal of information science Vol. 51; no. 4; pp. 831 - 842
Main Authors: Yurtsever, Muhammet Mücahit Enes, Shiraz, Muhammad, Ekinci, Ekin, Eken, Süleyman
Format: Journal Article
Language:English
Published: London, England SAGE Publications 01.08.2025
Bowker-Saur Ltd
Subjects:
Attitudes
Community
Comparative studies
Control methods
COVID-19
COVID-19 vaccines
Immunization
Modelling
Passports
Passports & visas
Polarity
Privacy
Public health
Public opinion
Research Paper
Sentiment analysis
Social media
Socioeconomic factors
Socioeconomic status
Subjectivity
Topics
Vaccines
vaccine passports
Reddit
sentiment analysis
topic modelling
vaccine certificate
ISSN:0165-5515, 1741-6485
Online Access:Get full text
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Summary:Topic mining and sentiment polarity analysis together can adequately represent the topics and attitudes of users. The goal of this article is to use Reddit’s location-based subreddits to look at country-level differences in attitudes towards COVID-19 vaccine passports. We used sentiment analysis and latent topic modelling on textual data obtained from 18 Reddit communities concentrating on COVID-19 vaccine passports from 1 January 2021 to 28 February 2022 to study COVID-19 vaccine passports–related discussion on Reddit. To discover changes in sentiment and latent topics, 11,168 comments were aggregated and examined by month. The number of comments on postings from country-specific subreddits was positively proportional to the number of new COVID-19 cases reported each day. The more subjective expressions and positive/negative interpretations occurred after July 2021. Communities indicated more positive sentiment than negative sentiment towards vaccine passports–related topics, according to polarity analysis. Topic modelling found that community members were concerned about a variety of concerns related to their socioeconomic status. Throughout the topic modelling, keywords suggesting people’s privacy concerns and acceptance of various COVID-19 control methods were found. The use of public opinion and topic modelling to analyse vaccine passports could help with important global health informatics concerns associated with their socioeconomic status.
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ISSN:0165-5515
1741-6485
DOI:10.1177/01655515221148356