An Ecological Model Analysis of COVID-19 Social Media Posts

被引:0
|
作者
Grossman, Suzanne [1 ]
Alber, Julia M. [2 ]
Henry, Dayna S. [1 ]
Askay, David [3 ]
Glanz, Hunter [4 ]
Marts, Erika [2 ]
Ostrander, Anna [2 ]
机构
[1] James Madison Univ, Coll Hlth & Behav Studies, Dept Hlth Sci, Harrisonburg, VA 22807 USA
[2] Calif Polytech State Univ San Luis Obispo, Dept Kinesiol & Publ Hlth, Coll Sci & Math, San Luis Obispo, CA 93407 USA
[3] Calif Polytech State Univ San Luis Obispo, Commun Studies Dept, Coll Liberal Arts, San Luis Obispo, CA 93407 USA
[4] Calif Polytech State Univ San Luis Obispo, Dept Stat, Coll Sci & Math, San Luis Obispo, CA 93407 USA
关键词
Communication technology; social ecological model; social media;
D O I
10.1080/15398285.2022.2081910
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:248 / 258
页数:11
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