A Study on Social Integration and Work Environment Improvement for Migrant Construction Workers Using Social Big Data Analysis
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Objectives: As the number of migrant construction workers (MCWs) increases, various socioeconomic problems are arising. This study aims to analyze key issues and trends related to MCWs using social big data and to derive policy and educational implications for improving their working environment and social integration. Methods: Data from Naver and Daum, collected between 2021 and 2024, were analyzed using text mining, and network analysis. Results: The results identified key terms such as employment, wages, safety, and education, with network analysis revealing strong interconnections among these terms, underscoring their significance in shaping major discourses. Conclusions: This study proposes policy development and institutional support strategies to improve the working environment of foreign laborers and offers practical insights for ensuring sustainability in the construction industry and fostering social integration.
Abstract
Objectives: As the number of migrant construction workers (MCWs) increases, various socioeconomic problems are arising. This study aims to analyze key issues and trends related to MCWs using social big data and to derive policy and educational implications for improving their working environment and social integration. Methods: Data from Naver and Daum, collected between 2021 and 2024, were analyzed using text mining, and network analysis. Results: The results identified key terms such as employment, wages, safety, and education, with network analysis revealing strong interconnections among these terms, underscoring their significance in shaping major discourses. Conclusions: This study proposes policy development and institutional support strategies to improve the working environment of foreign laborers and offers practical insights for ensuring sustainability in the construction industry and fostering social integration.