eHealth Engagement on Facebook during COVID-19: Simplistic Computational Data Analysis.

Journal: International journal of environmental research and public health

Volume: 19

Issue: 8

Year of Publication: 2022

Affiliated Institutions:  Department of Psychology, University of Zululand, KwaDlangezwa Campus, Richards Bay , South Africa.

Abstract summary 

Understanding social media networks and group interactions is crucial to the advancement of linguistic and cultural behavior. This includes how people accessed advice on health during COVID-19 lockdown. Some people turned to social media to access information on health when other routes were curtailed by isolation rules, particularly among older generations. Facebook public pages, groups and verified profiles using keywords "senior citizen health", "older generations", and "healthy living" were analyzed over a 12-month period to examine engagement with social media promoting good mental health. CrowdTangle was used to source status updates, photo and video sharing information in the English language, which resulted in an initial 116,321 posts and 6,462,065 interactions. Data analysis and visualization were used to explore large datasets, including natural language processing for "message" content discovery, word frequency and correlational analysis as well as co-word clustering. Preliminary results indicate strong links to healthy aging information shared on social media, which showed correlations to global daily confirmed cases and daily deaths. The results can identify public concerns early on and address mental health issues among senior citizens on Facebook.

Authors & Co-authors:  Hermann Caroll C Govender Melanie M

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Freberg K. Social Media for Strategic Communication: Creative Strategies and Research-Based Applications. Sage Publications Ltd.; Thousand Oaks, CA, USA: 2019.
Authors :  2
Identifiers
Doi : 4615
SSN : 1660-4601
Study Population
Male,Female
Mesh Terms
COVID-19
Other Terms
COVID-19;data analysis;mental health;natural language processing;netnography;social media;visualization
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
Switzerland