Analysis of Sustainable Living Discourse in News Big Data and Exploration of Its Implications for Home Economics Education

This study aims to analyze the core keywords and major topics related to ‘sustainable living’ as reflected in news articles through Social Network Analysis(SNA). It explores the educational implications of big data topics and their applications in home economics education and classroom settings. To achieve this, news articles related to ‘sustainable living’ were collected from January 2020 to June 2024 using BIGKinds. Subsequently, frequency analysis, TF-IDF, N-gram analysis, centrality analysis, and LDA topic modeling were conducted using Textom and NetMiner. The results are as follows: First, the core keywords central to the discourse on ‘sustainable living’, as identified through TF-IDF analysis, include ‘energy’, ‘education’, ‘plastic’, ‘society’, ‘campaign’, ‘corporation’, and ‘practice’. Centrality analysis revealed that keywords such as ‘plastic’, ‘challenge’, and ‘campaign’ reflect major societal concerns regarding environmental issues and sustainability. This indicates the necessity for an integrated educational approach to build a sustainable society. Second, five key topics related to ‘sustainable living’ were derived from the news big data: ‘future environmental policies’, ‘environmental campaigns and challenges’, ‘climate crisis and lifestyle changes’, ‘sustainable future systems’, and ‘consumer lifestyle practices’. Based on these findings, the study explores the educational implications embedded in the news big data and potential applications in home economics education and classroom practices. The significance of this research lies in its analysis of the core keywords related to ‘sustainable living’ and their influence, as well as its exploration of learning activities aimed at fostering ecological education, responsible behavior considering community and ecological environments, and an eco-oriented lifestyle, as emphasized in the revised 2022 home economics curriculum.