인터넷과 소셜미디어를 통해 본 간호사 이미지에 관한 연구
A Study of the Image of Nurse through Analysing Linking Words of Nurse in the Internet and Social Media
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연구목적: 본 연구는 인터넷과 소셜미디어에서 회자되고 있는 구, 절, 문장에서 “간호”, “간호사”와 연관된 단어들을 통해 간호사에 대한 대중들의 생각과 태도를 파악하고, 간호사의 이미지를 파악하고자 하였다. 연구방법: 구글, 다음, 네이버, 트위터, 페이스북에서 나타나는 대화나 문서에서 간호사와 연관된 단어들의 빈도수를 조사하였다. 간호사의 주요 연관어를 미디어 유형별로 파악하고, 시간변화에 따른 연관어의 변화특성을 조사하였다. 의미를 파악하기 위해 범주별로 연관어를 분류하고 각 범주의 특징을 분석 하였다. 연구결과: 조사된 연관어의 총 빈도수는 17,399,711개였고 가장 빈번하게 나타난 연관어는 병원, 업무, 사람이었다. 사람과 관련된 범주의 단어가 가장 많았고 다음은 감정, 전문직, 장소 순이었다. 결론: 연도별로 연관어 변화와 특성 경향을 분석함으로써 간호사에 대한 대중의 생각과 느낌을 알아보고자 하였다. 간호사와 함께 가장 빈번하게 표현되는 연관어는 “병원”,“일”, “사람”, “근무”와 같은 업무와 관련된 것이었다.
Abstract
Purpose: This study investigated the linking words of nurse which were presented together with nurse on phrase, clauses or sentence of documents or conversations in the Internet portals and social media. Methods: The linking words with nurse were calculated by the number of presentation on conversations or documents, in Google, Daum, Naver, Twitter and Facebook. The changes of characteristics and the trend of yearly changes of major linking words of nurse were investigated by the type of media. In order to identify the meaning of the words, clustering of the collected linking words by categories was analysed and the characteristics of each cluster were classified. Results: A total number of reviewed linking words was 17,399,711 and the most frequently presenting words were hospital, work and person. The words related to people were the most highly presented and the next were those of emotion, professional and place respectively. Conclusion: With analysing the trends of changes and characteristics of words by yearly base and clusters, we attempted to investigate the image of nurse that the public think and feel about nurse.
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