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Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data
BACKGROUND: Previous studies have shown that electronic cigarette (e-cigarette) users might be more vulnerable to COVID-19 infection and could develop more severe symptoms if they contract the disease owing to their impaired immune responses to viral infections. Social media platforms such as Twitte...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787690/ https://www.ncbi.nlm.nih.gov/pubmed/33347422 http://dx.doi.org/10.2196/24859 |
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author | Gao, Yankun Xie, Zidian Li, Dongmei |
author_facet | Gao, Yankun Xie, Zidian Li, Dongmei |
author_sort | Gao, Yankun |
collection | PubMed |
description | BACKGROUND: Previous studies have shown that electronic cigarette (e-cigarette) users might be more vulnerable to COVID-19 infection and could develop more severe symptoms if they contract the disease owing to their impaired immune responses to viral infections. Social media platforms such as Twitter have been widely used by individuals worldwide to express their responses to the current COVID-19 pandemic. OBJECTIVE: In this study, we aimed to examine the longitudinal changes in the attitudes of Twitter users who used e-cigarettes toward the COVID-19 pandemic, as well as compare differences in attitudes between e-cigarette users and nonusers based on Twitter data. METHODS: The study dataset containing COVID-19–related Twitter posts (tweets) posted between March 5 and April 3, 2020, was collected using a Twitter streaming application programming interface with COVID-19–related keywords. Twitter users were classified into two groups: Ecig group, including users who did not have commercial accounts but posted e-cigarette–related tweets between May 2019 and August 2019, and non-Ecig group, including users who did not post any e-cigarette–related tweets. Sentiment analysis was performed to compare sentiment scores towards the COVID-19 pandemic between both groups and determine whether the sentiment expressed was positive, negative, or neutral. Topic modeling was performed to compare the main topics discussed between the groups. RESULTS: The US COVID-19 dataset consisted of 4,500,248 COVID-19–related tweets collected from 187,399 unique Twitter users in the Ecig group and 11,479,773 COVID-19–related tweets collected from 2,511,659 unique Twitter users in the non-Ecig group. Sentiment analysis showed that Ecig group users had more negative sentiment scores than non-Ecig group users. Results from topic modeling indicated that Ecig group users had more concerns about deaths due to COVID-19, whereas non-Ecig group users cared more about the government’s responses to the COVID-19 pandemic. CONCLUSIONS: Our findings show that Twitter users who tweeted about e-cigarettes had more concerns about the COVID-19 pandemic. These findings can inform public health practitioners to use social media platforms such as Twitter for timely monitoring of public responses to the COVID-19 pandemic and educating and encouraging current e-cigarette users to quit vaping to minimize the risks associated with COVID-19. |
format | Online Article Text |
id | pubmed-7787690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77876902021-01-11 Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data Gao, Yankun Xie, Zidian Li, Dongmei JMIR Public Health Surveill Original Paper BACKGROUND: Previous studies have shown that electronic cigarette (e-cigarette) users might be more vulnerable to COVID-19 infection and could develop more severe symptoms if they contract the disease owing to their impaired immune responses to viral infections. Social media platforms such as Twitter have been widely used by individuals worldwide to express their responses to the current COVID-19 pandemic. OBJECTIVE: In this study, we aimed to examine the longitudinal changes in the attitudes of Twitter users who used e-cigarettes toward the COVID-19 pandemic, as well as compare differences in attitudes between e-cigarette users and nonusers based on Twitter data. METHODS: The study dataset containing COVID-19–related Twitter posts (tweets) posted between March 5 and April 3, 2020, was collected using a Twitter streaming application programming interface with COVID-19–related keywords. Twitter users were classified into two groups: Ecig group, including users who did not have commercial accounts but posted e-cigarette–related tweets between May 2019 and August 2019, and non-Ecig group, including users who did not post any e-cigarette–related tweets. Sentiment analysis was performed to compare sentiment scores towards the COVID-19 pandemic between both groups and determine whether the sentiment expressed was positive, negative, or neutral. Topic modeling was performed to compare the main topics discussed between the groups. RESULTS: The US COVID-19 dataset consisted of 4,500,248 COVID-19–related tweets collected from 187,399 unique Twitter users in the Ecig group and 11,479,773 COVID-19–related tweets collected from 2,511,659 unique Twitter users in the non-Ecig group. Sentiment analysis showed that Ecig group users had more negative sentiment scores than non-Ecig group users. Results from topic modeling indicated that Ecig group users had more concerns about deaths due to COVID-19, whereas non-Ecig group users cared more about the government’s responses to the COVID-19 pandemic. CONCLUSIONS: Our findings show that Twitter users who tweeted about e-cigarettes had more concerns about the COVID-19 pandemic. These findings can inform public health practitioners to use social media platforms such as Twitter for timely monitoring of public responses to the COVID-19 pandemic and educating and encouraging current e-cigarette users to quit vaping to minimize the risks associated with COVID-19. JMIR Publications 2021-01-05 /pmc/articles/PMC7787690/ /pubmed/33347422 http://dx.doi.org/10.2196/24859 Text en ©Yankun Gao, Zidian Xie, Dongmei Li. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 05.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Gao, Yankun Xie, Zidian Li, Dongmei Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data |
title | Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data |
title_full | Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data |
title_fullStr | Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data |
title_full_unstemmed | Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data |
title_short | Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data |
title_sort | electronic cigarette users' perspective on the covid-19 pandemic: observational study using twitter data |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787690/ https://www.ncbi.nlm.nih.gov/pubmed/33347422 http://dx.doi.org/10.2196/24859 |
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