Suzanne Grossman, J. Alber, D. Henry, David A. Askay, Hunter Glanz, Erika Marts, Anna Ostrander
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An Ecological Model Analysis of COVID-19 Social Media Posts
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.
期刊介绍:
The Journal of Consumer Health on the Internet is the only professional peer-reviewed journal devoted to locating consumer health information via the Internet. In this journal librarians and health information providers describe programs and services aimed at helping patients and the general public find the health information they need. From the Editor: "Studies have shown that health information is one of the major reasons that people worldwide access the Internet. As the amount of health information on the Web increases exponentially, it becomes critical that librarians-including public and medical librarians-be knowledgeable about what is available online and be able to direct users to reliable, accurate, quality information."