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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| Published in: | Journal of information science Vol. 51; no. 4; pp. 831 - 842 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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London, England
SAGE Publications
01.08.2025
Bowker-Saur Ltd |
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| ISSN: | 0165-5515, 1741-6485 |
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| Abstract | 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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| AbstractList | 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. 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. |
| Author | Shiraz, Muhammad Ekinci, Ekin Eken, Süleyman Yurtsever, Muhammet Mücahit Enes |
| Author_xml | – sequence: 1 givenname: Muhammet Mücahit Enes surname: Yurtsever fullname: Yurtsever, Muhammet Mücahit Enes organization: Department of Information Systems Engineering, Kocaeli University, Turkey – sequence: 2 givenname: Muhammad surname: Shiraz fullname: Shiraz, Muhammad organization: Department of Information Systems Engineering, Kocaeli University, Turkey – sequence: 3 givenname: Ekin surname: Ekinci fullname: Ekinci, Ekin organization: Department of Computer Engineering, Sakarya University of Applied Sciences, Turkey – sequence: 4 givenname: Süleyman orcidid: 0000-0001-9488-908X surname: Eken fullname: Eken, Süleyman email: suleyman.eken@kocaeli.edu.tr organization: Department of Information Systems Engineering, Kocaeli University, Turkey |
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| Cites_doi | 10.1101/2021.04.09.21255229 10.34133/2021/9837856 10.3906/elk-1912-62 10.1016/j.jiph.2021.08.010 10.1609/icwsm.v14i1.7347 10.3389/fdgth.2021.804855 10.1109/JBHI.2021.3133103 10.1177/0165551520954674 10.1136/bmjgh-2021-006956 10.1108/GKMC-06-2021-0106 10.1016/j.knosys.2018.08.011 10.1056/NEJMp2104289 10.1177/0165551519845854 10.1016/j.techsoc.2021.101830 10.1038/44565 10.1002/mde.3546 10.1017/err.2021.35 |
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| Snippet | 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... 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... |
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| SubjectTerms | 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 |
| Title | Comparing COVID-19 vaccine passports attitudes across countries by analysing Reddit comments |
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