关键词: Facebook Facebook analysis Facebook extraction SIDS SUID United States analysis data extraction extraction tutorial health care research health-related maternal perspective maternal perspectives mother mothers post posts qualitative data safe sleep social media social media analysis sudden infant death syndrome sudden unexpected infant death systematic approach women

来  源:   DOI:10.2196/54407   PDF(Pubmed)

Abstract:
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.
摘要:
社交媒体分析在医疗保健研究人员中越来越受欢迎。社交媒体继续扩大其用户群,当分析时,提供对健康问题的独特见解。获取用于社交媒体分析的数据的过程差异很大,并且涉及道德考虑。数据提取通常由软件工具促进,其中一些是开源的,而其他人的成本很高,因此并非所有研究人员都能接触到。使用软件进行数据提取伴随着与社交媒体数据的独特性有关的其他挑战。因此,本文作为一个简单的提取社交媒体数据的方法的教程,该方法可供有兴趣从事社交媒体研究的新手医疗保健研究人员和公共卫生专业人员访问。所讨论的方法用于从Facebook提取数据,以研究母亲对婴儿突然意外死亡的看法。
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