디지털 정보격차 관련 유튜브 동영상 콘텐츠 분석

An Analysis of YouTube Video Content Related to Digital Divide

초록

This study analyzes how digital divide is discussed in YouTube video content, one of the major social media platforms. Basic statistical analysis was conducted on collected YouTube video data, and LDA topic modeling was applied to the speech text. The category analysis by year showed that the ‘News/Politics’ category had the highest number of uploaded videos. Additionally, videos with the most views, likes, and comments were all posted in 2024. Topic modeling identified five key themes: 1) digital technology and services for people with disabilities, 2) digital divide in education and solutions to bridge educational gaps, 3) enhancing digital literacy among the elderly and reducing information inequality, 4) social issues caused by the digital divide across age groups, 5) public projects and support measures to address digital divide. Among these, ‘Social issues caused by the digital divide across age groups’ had the highest data volume, followed by ‘public projects and support measures,’ which also showed a significant share. These two topics, along with ‘Enhancing digital literacy among the elderly,’ received the highest user engagement in terms of views, comments, and likes. This suggests strong public interest in the societal impact of the digital divide and initiatives to improve digital literacy, particularly among older adults.

키워드

디지털 정보격차; 유튜브; 토픽모델링; 동영상 콘텐츠; Digital Divide; YouTube; Topic Modeling; Video Content
제목
디지털 정보격차 관련 유튜브 동영상 콘텐츠 분석
제목 (타언어)
An Analysis of YouTube Video Content Related to Digital Divide
저자
김주영; 이종욱
DOI
10.14699/KBIBLIA.2025.36.1.null.55352
발행일
2025-03
유형
Y
저널명
한국비블리아학회지
권
36
호
1
페이지
229 ~ 253