본 논문은 한국 언론에서 보도하고 있는 중국 이미지가 한․중 관계의 변화에 따 라 어떻게 변화하고 있는지, 그리고 통상 보수 또는 진보 언론으로 구분되는 언론사 별로 중국 관련 보도에 유의미한 차이점이 있는지를 분석하였다. 분석 방법으로 빅 카인즈(BigKinds)를 활용하여 1990년부터 2022년까지 중국 관련 사회·문화면 뉴스 기사에 대해 의미연결망 분석과 감성분석을 활용하였다. 분석 결과 언론에서 보도되 는 중국 이미지는 양국 관계에 따라 변하고 있었다. 또한 감성분석 결과 전체 기간 동안 긍정 단어가 부정 단어보다 많았으나 2016년 이후 긍정 단어는 감소하고 있었 다. 2018년 이후 최근 5년 동안 보수 언론은 진보 언론보다 높은 부정적인 감성 강 도를 보이고 있었다.

Image-oriented information is becoming increasingly important on social networking services (SNS); the background of this trend is the popularity of selfies. Currently, camera applications using augmented reality (AR) and artificial intelligence (AI) technologies are gaining traction. An AR camera app is a smartphone application that converts selfies into various interesting forms using filters. In this study, we investigated the change of keywords according to the time flow of selfies in Goolgle News articles through semantic network analysis. Additionally, we examined the effects of using an AR camera app on appearance satisfaction and self-esteem when taking a selfie. Semantic network analysis revealed that in 2013, postings of specific people were the most prominent selfie-related keywords. In 2019, keywords appeared regarding the launch of a new smartphone with a rear-facing camera for selfies; in 2020, keywords related to communication through selfies appeared. As a result of examining the effect of the degree of use of the AR camera app on appearance satisfaction, it was found that the higher the degree of use, the higher the user’s interest in appearance. As a result of examining the effect of the degree of use of the AR camera app on self-esteem, it was found that the higher the degree of use, the higher the user’s negative self-esteem.

The purpose of this study is to examine the relationships between citations and the research trends of The Research Journal of the Costume Culture (RJCC) using bibliometric and network analyses. The results are as follows. First, the RJCC has been cited by a greater number of journals and high-reputation journals today. The RJCC has been mentioned in global academic journals in various fields, and it has been noted the most in environmental science. Second, because of examining the articles published in the RJCC over the past three years (2019–2021), it was found that the number of topics was evenly distributed in various subfields of the clothing and textiles sector. The RJCC principally deals with traditional clothing, ethics and sustainability, and technology, which means that the RJCC reflects the past, present, and future. As a result of conducting a cluster analysis using the Wakita-Tsurumi algorithm, the subjects of ethical fashion and sustainability were derived from the subdivisions of the RJCC. This suggests that the RJCC is a journal specialized in ethical fashion and sustainability sectors such as environmental, animal, and labor ethics. This study outlined the current status and future direction of academic journals in the field of clothing through an analysis of the RJCC’s influence change and the relationship between citations. In addition, it is academically significant because it identifies research trends and knowledge-structure changes in the apparel science field by identifying changes in research keywords and significant research topics by sector.

This study attempted to obtain a comprehensive insight into future education by systematically analyzing the contents of the research report from national research institutes on future education. To achieve this, 11 research reports on future education were analyzed using the semantic network analysis method. As a result, first, the main keywords of future education are 'future-oriented', 'artificial intelligence', 'learning topic', 'diversity', 'convergence', 'future core competency', 'democratic citizenship education', 'thinking ability', 'education policy', and 'literacy'. Second, among these keywords, 'education reform' is strongly linked with 'future-oriented', 'future core competency' and 'education policy'; 'future core competency' is strongly linked with 'future science' and 'thinking ability'; 'future science' was found to be strongly connected with 'learning subject' and 'convergence'. Also, 'education content' was found to be strongly connected with 'diversity', 'literacy' and 'artificial intelligence'. Third, as a result of the centrality index, 'future-oriented' is located at the center of the network, followed by 'learning topics', 'diversity', 'literacy', and 'artificial intelligence' are located within a short distance. In addition, 'learning topics', 'artificial intelligence', and 'future orientation' were found to play an important role in the overall semantic structure. The main points of discussion are discussed, based on these results, with previous research results.

이 연구는 의미연결망 분석을 활용하여 Movement culture 중 K-pop 댄스, 태권도 공연의 인식을 탐색하는 것이 목적이다. 연구대상은 대전 소재 K 대학의 105명으로 선정하였다. 연구대상의 선정방법은 비확률 표집방법 중 눈덩이표본추출법을 사용하였으며 조사도구는 모바일 구글 설문지를 사용하였다. 결과는 다음과 같다. 첫째, K-pop 댄스는 ‘세계화’, ‘문화’, ‘유명’의 개념이 20회 이상 산출 된 인식의 상위 개념임을 알 수 있었다. 둘째, K-pop 댄스 인식의 의미연결망 분석 결과, ‘문화’, ‘인기’, ‘유명’ 개념이 k-pop 댄스 인식의 주요 연결개념임을 알 수 있었다. 셋째, 태권도 공연은 ‘좋음’, ‘한국’, ‘절제의 개념이 20회 이상 산출된 상위개념임을 확인할 수 있다. 넷째, 태권도 공연 인식의 의미연결망 분석 결과, ‘움직임’, ‘한국’, ‘좋음’ 의 개념이 태권도 공연 인식의 주요 연결개념임을 알 수 있었다.