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A Simple and Systematic Approach to Qualitative Data Extraction From Social Media for Novice Health Care Researchers: Tutorial

A Simple and Systematic Approach to Qualitative Data Extraction From Social Media for Novice Health Care Researchers: Tutorial

To leverage the potential of social media data and overcome some barriers related to social media research, this paper describes a simple and systematic approach to extracting qualitative data from a social media platform. The methods outlined in this paper were used to extract data from Facebook for a study on maternal perspectives on sudden unexpected infant death (SUID).

Kelly Pretorius

JMIR Form Res 2024;8:e54407

Photos Shared on Facebook in the Context of Safe Sleep Recommendations: Content Analysis of Images

Photos Shared on Facebook in the Context of Safe Sleep Recommendations: Content Analysis of Images

These included (1) a supine sleep position, (2) no bed sharing, (3) the absence of soft bedding (crib bumpers, positioners), (4) a safe sleep surface, and (5) pacifier use [3]. If there was a discrepancy in assessing the safety of the environment, this was discussed among the members until a consensus was reached.

Kelly Pretorius, Sookja Kang, Eunju Choi

JMIR Pediatr Parent 2024;7:e54610

Sudden Infant Death Syndrome on Facebook: Qualitative Descriptive Content Analysis to Guide Prevention Efforts

Sudden Infant Death Syndrome on Facebook: Qualitative Descriptive Content Analysis to Guide Prevention Efforts

The post that received the most likes (n=20) was a Seattle Times article about a doctor who linked hearing dysfunction to SIDS; if infants failed the screening, they would undergo a more thorough exam because they were more at risk than those who passed. The post that received the second highest number of likes (n=12) was a post from a mother who wanted to know who else “went against the recommendations” and let their babies sleep prone.

Kelly Pretorius, Eunju Choi, Sookja Kang, Michael Mackert

J Med Internet Res 2020;22(7):e18474

Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts

Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts

The first step was to extract, clean, and create a dictionary of words using a natural language processor. Using a Text Parsing node, each message was divided into individual words; these words were listed in a frequency matrix, and words that contributed little to the understanding of the topic, such as auxiliary verbs, conjunctions, determiners, interjections, participles, prepositions, and pronouns, were excluded from the analysis.

Kelly A Pretorius, Michael Mackert, Gary B Wilcox

JMIR Pediatr Parent 2018;1(2):e10435