The Role Of Social Media As Social Support For Postpartum Depression: Using Vosviewer Map For Bibliometric Review Analysis

C. Purwanti, Faridah Moch Said, Syarifah Shafinaz
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Abstract

Background : Postpartum period is a time of physiological changes for recovery from pregnancy, and also a psychological transition in which women gain competence and confidence in their role as mothers. The most significant factor on the development of maternal competence is social support. Today's widely accepted sources of social support are various social media platforms. To overcome this gap, this research uses VOSviewer to analyze text data from publications or reports related to the role of social media. Methods: This research was conducted by making maps based on text data. The first step, the researcher uses publish or perish to search using Google Scholar journal data related to social media as social support for postpartum depression from 2018 to 2022. The second step uses VOSviewer to create maps based on text data from reference managers with field titles and binary calculations as methods. For the third step, the researcher chose a threshold with a minimum number of occurrences of 3 terms, and the researcher found 1996 terms, 56 meet the threshold. From 56 meet of the treshhold, 34 number terms are selected. Results and Discussion : On July 13, 2023, there were 86 articles analyzed and the researchers found 4 clusters, cluster 1 had 11 items, cluster 2 had 10 items, cluster 3 had 9 items adn cluster 4 had 4 items. From the 3 clusters, three visualizations were obtained consisting of network, overlay and density visualization. Conclusion : Results mapping based on keywords social media as social support for postpartum mother. Most of the research on trial has been done. The data map of the network visualization social media as social support for postpartum depression is a review.
社交媒体作为产后抑郁症社会支持的作用:使用Vosviewer地图进行文献计量分析
背景:产后是妇女从怀孕中恢复的生理变化时期,也是妇女获得作为母亲的能力和信心的心理转变时期。影响母亲能力发展的最重要因素是社会支持。如今被广泛接受的社会支持来源是各种社交媒体平台。为了克服这一差距,本研究使用VOSviewer来分析与社交媒体角色相关的出版物或报告中的文本数据。方法:采用基于文本数据制作地图的方法进行研究。第一步,研究人员使用谷歌学者与社交媒体相关的期刊数据作为2018年至2022年产后抑郁症的社会支持,使用“发表或消亡”进行搜索。第二步使用VOSviewer基于引用管理器的文本数据创建地图,并使用字段标题和二进制计算作为方法。对于第三步,研究者选择了一个最小出现3个词的阈值,研究者发现1996个词中有56个符合阈值。从56个阈值中选择34个数字项。结果与讨论:截至2023年7月13日,共分析86篇文章,共发现4个聚类,聚类1有11个条目,聚类2有10个条目,聚类3有9个条目,聚类4有4个条目。从3个聚类中获得了网络可视化、覆盖可视化和密度可视化三种可视化方式。结论:基于关键词社交媒体作为产后母亲社会支持的结果映射。大部分试验研究已经完成。网络可视化社交媒体作为产后抑郁症社会支持的数据图综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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