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An Ecological Model Analysis of COVID-19 Social Media Posts.

Authors :
Grossman, Suzanne
Alber, Julia M.
Henry, Dayna S.
Askay, David
Glanz, Hunter
Marts, Erika
Ostrander, Anna
Source :
Journal of Consumer Health on the Internet. Jul-Sep2022, Vol. 26 Issue 3, p248-258. 11p.
Publication Year :
2022

Abstract

This study examined prevention and coping content related to COVID-19 on social media. Publicly available social media posts were examined by levels of the social ecological model (SEM) and by platform (Instagram, TikTok, Twitter). Using systematic random sampling, 1579 public posts were collected from March 2020 to June 2020 using COVID-19 hashtags. Of these, 663 posts written in English about COVID-19 were included. Content was coded by platform, strategies for reducing risk, strategies for coping with stress, and SEM level(s). In total, 41.18% of the posts mentioned a strategy for reducing risk. Few posts mentioned coping strategies (5%). Slightly less than half of the posts focused on the individual level (42.1%). Both the strategies mentioned for reducing risk and SEM levels referenced in each post varied significantly by platform. Results suggest that social media may provide insight into the type of health information the public receives as well as the public's strategies for reducing risk and coping; however, there is variation among platforms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15398285
Volume :
26
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Consumer Health on the Internet
Publication Type :
Academic Journal
Accession number :
159132661
Full Text :
https://doi.org/10.1080/15398285.2022.2081910