• 문화기술의 융합
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• 제9권3호
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• pp.579-585
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• 2023

본 연구의 목적은 텍스트네트워트분석을 통해 스토킹에 대한 정치성향의 언론기사 내에 핵심 단어를 탐색하고 내재된 의도를 살펴보는 것이다. 2018년 1월 1일부터 2022년 12월 31일까지 보도된 보수언론기사(조선일보, 중앙일보) 824건, 진보언론기사(한겨레신문, 경향신문) 783건으로 총 1,607건을 선정하여 LDA(Latent Dirichlet Allocation) 기반의 토픽모델링 기법으로 도출된 주제범주의 양상을 탐색하였다. 연구결과는 보수언론과 진보언론의 공통된 토픽은 젠더폭력의 인식개선, 신변보호 및 처벌강도, 스토커 신상공개 도출되었고 두 언론의 상이한 토픽은 보수언론에서는 스토커의 가해행위, '신당역 살인사건'의 개요와 진보언론은 '신당역 살인사건'의 가중처벌요구, (사이버공간의) 성착취 범죄 근절로 구성되었다. 본 연구는 스토킹에 대한 언론기사 간의 이념적 의견에 따라 보도형태에 변화가 있음을 시사한다.

• 한국병원경영학회지
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• 제4권2호
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• pp.60-84
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• 1999

Hospitals under competitive environment are getting more interested in PR(public relations) as a means of marketing. A typical form of public relations for the hospital is publicity, and its principal instrument is the press release that provides the mass media with the raw material and background for a news story. The purpose of this paper is to examine and analyze the public relations articles associated with hospitals in the section of health care in major daily newspapers. Three major daily newspapers, Chosun, Joongang and Hankyoreh have been analyzed for a year from January 1, 1998 to December 31, 1998. All articles in the health care section are classified by content, size, press comments, and style. This study has found some perverse aspects of the public relations such as the preponderance of health articles on tertiary medical institutions, inappropriate publicity focused on certain medical treatments, doctors, and hospitals, and the positive press comments on the hospitals that are affiliated with the same corporate group as the newspaper.

• 한국컴퓨터정보학회논문지
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• 제25권7호
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• pp.183-191
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• 2020

본 연구의 목적은 최근 교육정책 중 관심거리가 되고 있는 '고교학점제' 관련 언론사 기사들의 최근 변화(2017년~2019년: 3년간) 모습을 객관적으로 분석하여 제시하는 것이다. 주요 연구방법론은 BIGKinds 서비스의 특정 검색어 뉴스 검색, 뉴스 트렌드 분석, 키워드 추출 및 워드클라우드 구현, 네트워크 분석 및 네트워크 그림 제시 등 이었다. 연구결과는 첫째, 2017년~2019년 3년간 국내 주요 언론사에 등장한 고교학점제 관련 기사건수는 총 3,649건이며, 정부(교육부)의 관련 정책발표를 계기로 4번 정도 특정 시점에서 기사건수가 급격하게 증가하는 뉴스 트렌드를 보였다. 둘째, 분석대상 3년간의 고교학점제 관련 언론사 기사들에서 추출한 상위출현빈도 20위 키워드들을 제시하였으며, 연도별 키워드의 변화가 나타난 것을 확인하였다. 셋째, 고교학점제 관련 언론사 기사들의 연도별 네트워크는 인물, 기관, 키워드 별로 다른 모습으로 시각화하여 제시하였다. 이와 같은 연구결과는 고교학점제 교육정책이 문재인 정부의 대표적인 교육정책으로 채택되어, 정책 결정 단계를 거쳐 정책 집행 단계로 진행되고 있음을 확인해 주었다.

• 의학교육논단
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• 제19권3호
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• pp.158-168
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• 2017

There is a more urgent call for educational methods of machine learning in medical education, and therefore, new approaches of teaching and researching machine learning in medicine are needed. This paper presents a case using machine learning through text analysis. Topic modeling of news articles with the keyword 'asbestos' were examined. Two hypotheses were tested using this method, and the process of machine learning of texts is illustrated through this example. Using an automated text analysis method, all the news articles published from January 1, 1990 to November 15, 2016 in South Korea which included 'asbestos' in the title and the body were collected by web scraping. Differences in topics were analyzed by structured topic modelling (STM) and compared by press companies and periods. More articles were found in liberal media outlets. Differences were found in the number and types of topics in the articles according to the partisanship and period. STM showed that the conservative press views asbestos as a personal problem, while the progressive press views asbestos as a social problem. A divergence in the perspective for emphasizing the issues of asbestos between the conservative press and progressive press was also found. Social perspective influences the main topics of news stories. Thus, the patients' uneasiness and pain are not presented by both sources of media. In addition, topics differ between news media sources based on partisanship, and therefore cause divergence in readers' framing. The method of text analysis and its strengths and weaknesses are explained, and an application for the teaching and researching of machine learning in medical education using the methodology of text analysis is considered. An educational method of machine learning in medical education is urgent for future generations.

• Quantitative Bio-Science
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• 제37권2호
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• pp.91-101
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• 2018

This study has analyzed applicable characteristics on big data of the meteorology and climate depending on press releases in the media. As a result, more than half of them were conducted by governmental departments and institutions (26.9%) and meteorological administration (25.0%). Most articles were written by journalists, especially the highest portion stems from straight articles focusing on delivering simple information. For each field, the number of cases had listed in order of rank to be exposed to the media; information service, business management, farming, livestock, and fishing industries, and disaster management, but others did rank far behind; insurance, construction, hydrology and energy. Application of big data about meteorology and climate differed depending on the seasonal change, it was directly related to temperature information during spring, to weather phenomenon such as monsoon and heat wave during summer, to meteorology and climate information during fall, and to weather phenomenon such as cold wave and heavy snow during winter.

• 한국컴퓨터정보학회논문지
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• 제26권5호
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• pp.103-110
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• 2021

본 연구의 목적은 '대학 핵심역량'과 관련된 주제를 다룬 최근 10년간(2011~2020년) 언론사 보도기사의 추이와 학술지 논문들의 연구동향을 빅데이터 분석방법으로 확인해 보고자 한다. 본 연구의 주요 연구방법론은 빅카인즈 분석 시스템과 언어네트워크 분석 방법론을 적용하였다. 본 연구에서 도출한 연구결과는 첫째, 대학 핵심역량 관련 언론사 기사수는 2014년 12월, 2020년 후반기에 급증하는 키워드 트렌드를 보였다. 관련 연관어는 교육과정, 특성화, 사업단, 교육부, ACE, 경쟁력 등으로 나타났다. 둘째, 관련 연구논문 키워드 간의 언어네트워크 값은 연결정도 554개, 평균연결 18,467개, 밀도 0.637을 보였다. 연결정도 중심성은 대학(1606), 역량(1481), 핵심(1349), 핵심역량(1301) 등의 순으로 분석되었다. 매개 중심성 높은 키워드는 핵심역량(13.101), 대학생(13.101), 대학(13.101), 역량(13.101)으로 분석되었다. 본 연구결과는 고등교육기관 구성원, 교육정책 관련 전문가, 교육학자 등에게 향후 연구 및 정책 입안, 교육 프로그램 기획 및 운영 등에 시사점을 줄 수 있을 것으로 기대된다.

• Journal of Preventive Medicine and Public Health
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• 제53권2호
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• pp.126-134
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• 2020

Objectives: Cancer diagnoses have a tremendous impact on individuals and communities, drawing intense public concern. The objective of the current research was to examine news coverage and content related to cancer-related issues in Korean newspapers. Methods: Primarily using the database system of the Korea Press Foundation, we conducted a content analysis of 2806 articles from 9 Korean daily newspapers during a recent 3-year period from 2015 to 2017. Thematic categories, the types of articles, attitudes and tone, and the number of sources in each article were coded and classified. Results: Many news articles dealt with a diverse range of themes related to cancer, including general healthcare information, the latest research and development, specific medical institutions and personnel, and technology and products, which jointly accounted for 74.8% of all articles. Those thematic categories differed markedly in terms of article type, tone, and the number of cited sources. News articles provided extensive information about healthcare resources, and many articles seemed to contain advertising content. However, the content related to complex social issues such as National Health Insurance did not include enough information for the reader to contextualize the issues properly or present the issues systematically. Conclusions: It can be assumed that the media exert differential influence on individuals through news coverage. Within the present reporting framework, the availability and usefulness of information are likely to depend solely on individuals' capabilities, such as financial and health literacy; this dependency has a negative impact on knowledge gaps and health inequities.

• 한국컴퓨터정보학회논문지
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• 제25권7호
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• pp.167-173
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• 2020

본 연구는 코로나19의 세계적 대유행(Pandemic)으로 인하여 세계경제가 다양한 문제에 직면하는 상황에서 항공사와 종사원에대한 기사들은 코로나19이전과 이후에 어떤 변화를 나타내고 있는지 시기적인 분석을 통한 언론사뉴스 기사건수와 트렌드를 분석해보고자 하는 것이다. 이를 위해 한국 언론진흥재단(Korea Press Foundation) 빅카인즈(Bigkinds) 뉴스 분석 서비스를 이용하여 코로나19 이전과 이후 항공사와 종사원에 관련된 기사건수와 트렌드를 분석하여 시각화하였다. 이를 위해 2019년 1월1일에서 5월 31일까지 그리고 2020년 1월 1일에서 5월 31일까지 빅카인즈 서비스 시스템을 통해 추출하였다. 분석 결과 코로나19 이전 과 이후에 기사건수는 항공관련이벤트가 발생한 경우 폭발적으로 증가하였다. 그리고 구조조정관련 뉴스로 트렌드의 변화가 일어나고 있음을 확인할 수 있었다. 코로나19의 영향에 따른 항공 산업의 위기 극복을 위해 정부 및 항공사의 적극적인 노력이 필요할 것이다. 본 연구 결과는 코로나19 이전과 이후 뉴스기사와 관련된 건수와 트렌드를 분석하여 향후 항공사 및 종사원에게 닥칠 수 있는 영향에 대한 전략 수립에 필요한 실무적 시사점을 제시하였다는 점에서 의의를 갖는다.

• Journal of Preventive Medicine and Public Health
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• 제52권6호
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• pp.384-392
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• 2019

Objectives: This study aimed to explore the health inequality discourse in the Korean press by analyzing newspaper articles using a relatively new content analysis technique. Methods: This study used the search term "health inequality" to collect articles containing that term that were published between 2000 and 2018. The collected articles went through pre-processing and topic modeling, and the contents and temporal trends of the extracted topics were analyzed. Results: A total of 1038 articles were identified, and 5 topics were extracted. As the number of studies on health inequality has increased over the past 2 decades, so too has the number of news articles regarding health inequality. The extracted topics were public health policies, social inequalities in health, inequality as a social problem, healthcare policies, and regional health gaps. The total number of occurrences of each topic increased every year, and the trend observed for each theme was influenced by events related to its contents, such as elections. Finally, the frequency of appearance of each topic differed depending on the type of news source. Conclusions: The results of this study can be used as preliminary data for future attempts to address health inequality in Korea. To make addressing health inequality part of the public agenda, the media's perspective and discourse regarding health inequality should be monitored to facilitate further strategic action.

• 의학교육논단
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• 제24권2호
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• pp.103-112
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• 2022

The purpose of this study was to explore, using topic modeling, the social value of doctors and medicine demanded by society as reflected in published newspaper articles in Korea. Ultimately, this study aimed to reflect social needs in the process of developing the Patient-Centered Doctor's Competency Framework in Korea. For this purpose, a total of 2,068 newspaper articles published from 2016 to 2020 were analyzed. Through topic modeling of these newspaper articles over the past 5 years, 18 topics were derived and divided into four categories. Focusing on the derived topics and keywords, the topics derived in specific years and the proportion of topics by year were analyzed. The results of this study make it possible to grasp the needs of society projected through the press for doctors and medicine. Due to the nature of the press, topics that frequently appeared in newspaper articles were mainly social phenomena related to requirements for doctors, particularly dealing with economic and legal aspects. In particular, it was confirmed that doctors are now required to have a wider range of competencies that go beyond their required medical knowledge and clinical skills. This study helped to establish doctor's competencies by analyzing social needs for doctors through the latest research methods, and the findings could help to establish and improve doctor's competencies through ongoing research in the future.