Media Discourse Analysis of Elderly Exercise Participation Before and After COVID-19 Using Big Data


COVID-19 impacts the environment of elderly exercise changes worldwide. To understand how South Korean society perceives this phenomenon and what they expect for revitalizing the elderly’s participation in exercise, this study analyzed the media’s frame through text mining. Data related to the keywords “health care of the elderly”, “the elderly sport”, and “the elderly exercise” were collected from January 2017 to December 2022 from the 54 Korean press using the tool BIG KINDS. Keywords, importance, and related words were derived through word frequency, TF-IDF, and N-gram analysis. CONCOR analysis was used to derive the meaning and relevance of the words. The results are as follows. As a result of CONCOR analysis of news articles from 2017 to 2019, there were four categories: government response to elderly exercise, prevention through elderly diseases and exercise, elderly exercise facilities, and elderly sports activities. Meanwhile, as a result of CONCOR analysis of news articles from 2019 to 2022, there were four categories: government response to participate in the elderly movement during COVID-19, health problems and solutions for the elderly, senior care during the COVID-19, and application of IT technology to overcome the COVID-19. Through this, the decrease in muscle mass of the elderly after COVID-19 was noticeable, IT technology was actively used, and the development of visiting care systems and private-level care and exercise services was highlighted as a social concern.


Hyun Byun
Research Professor, Research Institute of Exercise Rehabilitation and Convergence, Gachon University, Incheon Gwang'yeogsi [Inch'n-Kwangyokshi], South Korea


Presentation Type

Poster Session


Sport and Health



Digital Media

This presenter hasn’t added media.
Request media and follow this presentation.