손새아, 전병진, 김희웅. (2019). 텍스트 마이닝을 활용한 블록체인 이슈 분석: 한국과 미국. 한국 IT 서비스학회지, 18, 45-61.

https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002452919

초록

Blockchain technology, which enables transparent transactions among individuals without central control, opens up diverse business possibilities. It is also expected that blockchain will have a ripple effect on the entire area of society including finance, manufacturing, distribution, and the public sector. Previous studies related to the blockchain also deals with its functional features and application to industrial and public fields. In the new technology such as blockchain, it is necessary to know what social perception is in order to create technological development environment, but there is a lack of research on it. Therefore, this study aims to find out the implications for industrial and policy direction by analyzing issues related to the blockchain in South Korea and the US through text mining. From these two countries, we collected text data related to blockchain in online communities and internet articles. Then, we did co-occurrence analysis and topic modeling on them respectively. As a result of this study, we have found common points and differences in keywords and topics extracted from social media in the two countries. Based on them, we can offer helpful suggestions for building a sound blockchain ecosystem, and directions for future research.

연구의의

최근 비트코인 열풍과 함께 촉발된 블록체인 기술에 대한 사회적 관심이 상당하며, 블록체인의 특성 및 산업적 활용도에 관한 논의가 활발하게 이루어지고 있다. 본 연구에서는 소셜미디어 마이닝을 통해 블록체인과 관련된 한국과 미국의 긍·부정 이슈를 파악하고, 그 결과를 비교 분석하여 블록체인 기술과 산업적 및 정책적 방향성에 대한 시사점을 찾는 연구인 점에서 본 연구팀의 아젠다와 부합한다.