All Issue

2023 Vol.34, Issue 2 Preview Page

Research Article

Changes in Keywords Related to Housing Stress Before and After COVID-19 Using Big Data Analysis - Focusing on newspaper articles during 2018~2022 -

빅데이터 분석방법론을 활용한 코로나19 전･후 주거스트레스 관련 키워드 변화 - 2018~2022년 신문 기사를 중심으로 -

Young-Joo Kim1
,
In-Sook Jo2
김 영주1
,
조 인숙2
1정회원(주저자), 중앙대학교 주거환경학과 교수, 이학박사
2정회원(교신저자), 상명대학교 공간환경학부 시간강사, 이학박사
Corresponding AuthorIn-Sook Jo, School of Space and Environment Studies, Sangmyung. University, 20 2-gil, Hongjimun-ro, Jongno-ku, Seoul, 03016, Korea. E-mail: anetjo@naver.com
25 April 2023. pp. 027-041
PDF XML Citation
Abstract

The purpose of this study was to explore keyword changes related to housing stress before and after the outbreak of COVID-19 using big data analysis methodology. Newspaper articles for 4 years before and after COVID-19 were collected in relation to housing stress from Naver News platform, and 27,898 keywords were extracted. The collected data was refined using R4.2.2 program and analyzed using vocabulary usage frequency analysis, Odd ratio analysis, Phi analysis, Semantic Network Analysis, and Topic Modeling. Major findings are as follows. 1) After COVID-19, the frequency of occurrence of the keyword ‘residential environment’ was the highest, and ‘housing complex’ was the most important keyword in the semantic network results. 2) The keyword ‘bathroom’ was very highly appeared after COVID-19, reflecting the increased interest in hygiene, health, and safety. 3) As remote education, telecommuting, and care within a dwelling have expanded due to COVID-19, the need for more space and flexible housing planning to accommodate them has been highlighted. 4) While COVID-19 has made daily life more difficult for the vulnerable, it has been confirmed that single-parent households were particularly stressed about housing. 5) The housing stress of young people continued to be at a high level before and after COVID-19. 6) It was confirmed that the increase in housing cost was the main factor causing housing stress.

Keywords
Housing Stress
COVID-19
Semantic Network Analysis
Topic Modeling
키워드
주거스트레스
코로나19
의미연결망분석
토픽모델링
References
1
Blau, G. (1981). An Empirical investigation of job stress, social support, service length, and job strain. Organization Behavior and Human Performance, 27, 279-302. 10.1016/0030-5073(81)90050-7
2
Burt, M. R., Gearing, M. E., & McDaniel, M. (2016). Evolution in programs offering supportive housing to child welfare-involved families: Services integration and systems change at the half-way point. Retrieved May 28.
3
Chandler, C., Austin, A., & Shanahan, M. (2020). Association of Housing Stress With Child Maltreatment: A Systematic Review. Trauma, Violence, & Abuse, 23(2), 639-659. 10.1177/152483802093913632677550PMC7855012
4
Cho, J. H., & Kwon, S. I. (1998). A Study on Theoretical Framework in Stress. Silla University Journal, 46, 53-79.
5
Desai, K., Gupta, P., Parikh, P., & Desaai. A. (2021). Impact of virtual heartfulness meditation program on stress, quality of sleep, and psychological wellbeing during the COVID-19 pandemic: a mixed-method study. International Jouranl of Environmental Research and Public Health, 18, 11114-11123. 10.3390/ijerph18211111434769634PMC8583339
6
Dubbey, S., Sahoo, K. C., Dash, G. C., Sahay, M. R., ... Pati, S. (2022). Housing-related challenges during COVID-19 pandemic among urban poor in low- and middle- income countries: A systematic review and gap analysis. Front Public Health, 10, 1-10. 10.3389/fpubh.2022.102939436211702PMC9540216
7
Evans, G. W., Chan, H., & Saltzman, H. (2000). Housing quality and mental health. Journal of Consulting and Clinical Psychology, 68(3), 526-530. 10.1037/0022-006X.68.3.52610883571
8
Hwang, S. I., Park, J. B., & Kim, M. K.(2020). An Analysis of Humanities Contents related Studies' Trend in Korea. Humanities Contents, 56, 123-141. 10.18658/humancon.2020.03.123
9
Jeong, J. H., & Kim, J. H. (2009). A Study on Correlation between Residential Environment Stress, Residence Coping Style and Emotional Intelligence. Housing Dwellers. Journal of the Korean Housing Association, 20(2), 19-26.
10
Jeong, S. Y., & Kim, N. G. (2022). Analysis of keyword trends related to construction project risk using network centrality. Journal of Korea Academia-Industrial cooperation Society, 23(8), 190-201. 10.5762/KAIS.2022.23.8.190
11
Jin, M. Y. (2012). Measurement and Diagnosis of Housing Stress. SH Urban Research & Insight, 2(2), 41-53. 10.26700/shuri.2012.12.2.2.41
12
Kim, I. H. (2019). Newspaper Big Data and Text Mining for Digital Humanities. The Journal of Lang & Lit, 78, 41-62. 10.15565/jll.2019.06.78.41
13
Kim, N. G., & Ha, J. M. (1996). Fundamental Study on Relationshing between Perception of Environmental Stress and Healthy Behavior in Residential Environment. Journal of the Korean Housing Association, 7(2), 9-17.
14
Kim, S. G. (2021). A Study on Changes in Housing Life by Housing Needs in the Covid-19 Pandemic Period. The Journal of Humanities and Social science, 12(2), 1154-1164. 10.22143/HSS21.12.2.81
15
Kim, S. H., & Lee, H. N. (2020). Characteristics and Support Directions by Types of Residential Stress Clusters in Single Parent Families After SARS-CoV-2(COVID-19). IDI Urban Research, 18, 9-45.
16
Kim, S. H., Lee, H. N., & Seol, D. J. (2020). Analysis of Factors Influencing Rsidential Stress In Single Parent Families After COVID-19. Journal of Korea Real Estate Society, 38(3), 85-104. 10.37407/kres.2020.38.3.85
17
Kim, Y. J., Jo, I. S., Kang, H. J., & Kim, J. H. (2018). Analysis of Housing Product Trend Through Newspaper Articles. A Journal of Brand Design Association of Korea, 16(4), 19-32. 10.18852/bdak.2018.16.4.19
18
Kim, Y. W. (2021). Easy-to-learn R text mining. Easypulishing. Seoul.
19
Ko, K. P. (1997). A Study on the Residential Stress and Inclination to Move. Journal of the Korean Housing Association, 8(2), 71-84.
20
Kwon, C. M. (2022). Python Machine Learning Perfect Guide. Wikibook. Paju.
21
Lee, D. H., Kim. Y. J., Hwang, H. H., Nam, S. K., & Jung, D. S. (2021). A Longitudinal Comparative Study of Two Periods regarding the Influences of Psycho-Social Factors on Emotional Distress among Korean Adults during the Corona virus. Korean Journal of Culture and Social Issues, 27(4), 629-659. 10.20406/kjcs.2021.11.27.4.629
22
Lee, D. Y., Kwon, O. J., & Kim, J. Y. (2022). Changes in Housing Function and Space Preference in the Post Covid Era. Journal of the Korean Housing Association, 33(2), 43-53. 10.6107/JKHA.2022.33.2.043
23
Lee, R. H. (2021). Factors related to COVID-19 Anxiety and Stress: Focusing on Demographic Characteristics and Neighborhood Satisfaction. The Journal of the Korea Contents Association, 21(6), 71-80.
24
Moon, S. J., & Kwak, I. S. (1992). A Study on the Variables Influencing Residential Stress Factors. Journal of the Korean Housing Association, 30(3), 159-175.
25
Moon, S. J., & Kwak, I. S. (1992). The Effects of Residential Stressors on the Housing Management. Jourmal of Korean Home Management Association, 10(2), 87-97.
26
Noh, S. H., & Kim, M. H. (2008). Residential Environmental Stress of Multi-Family Housing Dwellers. Journal of the Korean Housing Association, 19(3), 1-10.
27
Paik, H. S., & Kang, I. H.(2006). A Study of the Children's Healthe in Super-Highrise Apartment. Journal of the Korean Housing Association, 17(6), 1-8.
28
Pierse, N., Carter, K., Bierre, S., Law, D., & Howden-Chapman, P. (2016). Examining the role of tenure, household crowding and housing affordability on psychological distress, using longitudinal data. Journal of Epidemiology and Community Health, 70, 961-966. 10.1136/jech-2015-20671627154181
29
Robert, T., & Ben, P.(2013). A Measure of the Depth of Housing Stress and its Application in Australia. Economic Papers, 32(1), 99-109. 10.1111/1759-3441.12015
30
Shin, S. H. (2022). Effect of COVID-19 Stress on Online Shopping Addiction: Mediating Effects of Depression on Moderated by Gender. The Journal of the Korea Contents Association, 22(7), 420-431.
31
Slack, K. S., Font, S., Maguire-Jack, K., & Berger, L. M. (2017). Predicting child protective services (CPS) involvement among low-income U.S. families with young children receiving nutritional assistance. International Journal of Environmental Research and Public Health, 14, 1197. 10.3390/ijerph1410119729019906PMC5664698
32
Sun. M. P., Kim, B. D., & Yang. W. (2022). Topic Modeling Mobile Advertising Trends Using Python. Management & Information Systems Review, 41(2), 95-112.
33
Versey, H. Shellae (2021). The Impending Eviction Cliff: Housing Insecurity During COVID-19. American Journal of Public Health, 111(8), 1423-1427. 10.2105/AJPH.2021.30635334464206
34
Well, N., & Harris, J. D. (2007). Housing quality, psychological distress, and the mediating role of social withdrawal. Journal of Environmental Psychology, 27(1), 69-78. 10.1016/j.jenvp.2006.11.002
35
Yoo, S. Y., & Lim, G. G. (2021). Analysisn of News Agenda Using Text mining and Semantic Network Analysis: Focused on COVID-19 Emotions. Journal of Intelligence and Information Systems, 27, 47-64.
36
Yoon, S. H. (2021). COVID-19 Spread and Housing Prices in Major Countries. KIRI Weekly, 518, 8-15.
37
Yun, H. J., & Cho, H. (2021). An Analysis of Humanities Contents-related Studies's Trends in Korea. Humanities Contents), 56, 123-141. 10.18658/humancon.2020.03.123
38
Yun, S. J. (2021). Covid-19 Related Housing Market Policy Response. Journal of the Korean Society of Cadastre, 37(1), 53-69.
Information
  • Publisher :The Korean Housing Association
  • Publisher(Ko) :한국주거학회
  • Journal Title :Journal of the Korean Housing Association
  • Journal Title(Ko) :한국주거학회논문집
  • Volume : 34
  • No :2
  • Pages :027-041
  • Received Date : 2023-01-18
  • Revised Date : 2023-02-07
  • Accepted Date : 2023-03-03
  • DOI :https://doi.org/10.6107/JKHA.2023.34.2.027
Journal Informaiton Journal of the Korean Housing Association Journal of the Korean Housing Association
Archives
: the Korean Housing Association
  • NRF
  • KOFST
  • crossref crossmark
  • crossref cited-by
  • crosscheck
  • orcid
Journal Informaiton Journal Informaiton - close