%0 Journal Article
%@ 2561-326X
%I JMIR Publications
%V 8
%N 
%P e54407
%T A Simple and Systematic Approach to Qualitative Data Extraction From Social Media for Novice Health Care Researchers: Tutorial
%A Pretorius,Kelly
%+ School of Health Sciences, St. Edward's University, 3001 South Congress Avenue, Austin, TX, 78704, United States, 1 (512) 448 8500, kpretori@stedwards.edu
%K social media analysis
%K data extraction
%K health care research
%K extraction tutorial
%K Facebook extraction
%K Facebook analysis
%K safe sleep
%K sudden unexpected infant death
%K social media
%K analysis
%K systematic approach
%K qualitative data
%K data extraction
%K Facebook
%K health-related
%K maternal perspective
%K maternal perspectives
%K sudden infant death syndrome
%K mother
%K mothers
%K women
%K United States
%K SIDS
%K SUID
%K post
%K posts
%D 2024
%7 9.7.2024
%9 Tutorial
%J JMIR Form Res
%G English
%X Social media analyses have become increasingly popular among health care researchers. Social media continues to grow its user base and, when analyzed, offers unique insight into health problems. The process of obtaining data for social media analyses varies greatly and involves ethical considerations. Data extraction is often facilitated by software tools, some of which are open source, while others are costly and therefore not accessible to all researchers. The use of software for data extraction is accompanied by additional challenges related to the uniqueness of social media data. Thus, this paper serves as a tutorial for a simple method of extracting social media data that is accessible to novice health care researchers and public health professionals who are interested in pursuing social media research. The discussed methods were used to extract data from Facebook for a study of maternal perspectives on sudden unexpected infant death.
%M 38980712
%R 10.2196/54407
%U https://formative.jmir.org/2024/1/e54407
%U https://doi.org/10.2196/54407
%U http://www.ncbi.nlm.nih.gov/pubmed/38980712