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http://dx.doi.org/10.15207/JKCS.2021.12.12.305

A Study on the Changes in Perspectives on Unwed Mothers in S.Korea and the Direction of Government Polices: 1995~2020 Social Media Big Data Analysis  

Seo, Donghee (Division of Social Welfare, Catholic Kkottongnae University)
Jun, Boksun (University of South Carolina)
Publication Information
Journal of the Korea Convergence Society / v.12, no.12, 2021 , pp. 305-313 More about this Journal
Abstract
This study collected and analyzed big data from 1995 to 2020, focusing on the keywords "unwed mother", "single mother," and "single mom" to present appropriate government support policy directions according to changes in perspectives on unwed mothers. Big data collection platform Textom was used to collect data from portal search sites Naver and Daum and refine data. The final refined data were word frequency analysis, TF-IDF analysis, an N-gram analysis provided by Textom. In addition, Network analysis and CONCOR analysis were conducted through the UCINET6 program. As a result of the study, similar words appeared in word frequency analysis and TF-IDF analysis, but they differed by year. In the N-gram analysis, there were similarities in word appearance, but there were many differences in frequency and form of words appearing in series. As a result of CONCOR analysis, it was found that different clusters were formed by year. This study confirms the change in the perspective of unwed mothers through big data analysis, suggests the need for unwed mothers policies for various options for independent women, and policies that embrace pregnancy, childbirth, and parenting without discrimination within the new family form.
Keywords
Big Data; Text Mining; Semantic Network Analysis; CONCOR Analysis; Unwed Mother;
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