earticle

영어

The era of digital transformation is reshaping society, and the resulting digital divide among generations has become a critical issue. Seniors, in particular, experience difficulties in digital literacy and access, which affect daily life, social participation, and use of welfare services. We designed this study to analyze public perceptions of senior digital transformation using social big data, with the aim of deriving policy, educational, and technological implications. A total of 3,841 online documents were collected from Naver, Daum, and Google News between May 2023 and May 2025. Text mining was conducted using the keyword “Senior + Digital Transformation,” and the top 50 keywords were extracted using Textom. Semantic network analysis and CONCOR clustering were performed using UCINET 6 and NetDraw. The results revealed four major discourse clusters: policy and acceptance, service and industry environment, regional disparities, and digital competency education. These findings suggest that the issue is not merely technological but structurally social. This study offers distinctive insights by structurally analyzing social discourse, and recommends follow-up research such as qualitative interviews and policy evaluations.