김현수 Kim Hyun-su
DOI:10.47415/IRAC.7.3.2 Vol.7(No.3) 21-37, 2026
Abstract
This study aims to compare changes in online discourse on arts and cultural management before and after the COVID-19 pandemic and to analyze differences in major keywords and semantic structures across the two periods. To this end, the periods of 2017-2019 and 2023- 2025 were selected for analysis, and online data related to “arts and cultural management” were collected using TEXTOM. After data cleaning, term frequency analysis, TF-IDF analysis, centrality analysis, and CONCOR analysis were conducted.
The results are as follows. First, the frequency and TF-IDF analyses showed that, from 2017 to 2019, traditional areas of arts and cultural management were prominent, including academic majors and departments, university admission, project operation by foundations and institutions, policy and administration, and performance, exhibition, and marketing. In contrast, from 2023 to 2025, the importance of keywords related to the content industry, region and tourism, digital, media, and engineering technologies, global contexts, jobs, practical work, and field experience increased. Second, the CONCOR analysis for 2017-2019 identified four clusters: institutional operation and employment; academic majors, admission, and career paths; education, research, and professional fields; and early convergence based on media and design. Third, the analysis for 2023-2025 identified four clusters: the linkage of policy with regions and field practice; digital technology-based arts convergence; global content and convergence education; and experience-based job education and employment.
These findings indicate that, after COVID-19, discourse on arts and cultural management expanded from a traditional structure centered on systems, institutions, and education to encompass technology, content, region and tourism, global industries, and practical job competencies. This study is significant in that it empirically demonstrates structural changes in arts and cultural management discourse over time and provides foundational data for curriculum reform, professional workforce development, and related policy formulation.
Key Words
문화예술경영, 온라인 담론, 텍스트마이닝, 의미연결망 분석, 담론구조, Arts and Cultural Management, Online Discourse, Text Mining, Semantic Network Analysis, Discourse Structure