• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.183-191
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• 2020

The purpose of this study is to objectively analyze the trend of media articles related to the 'high school credit system' (2017~2019: 3 years), which has become the biggest concern among Korean education policies, through BIGKinds, a news data big data analysis service for media companies. The main research methodologies were BIGKinds system's specific search term news search, news trend analysis, keyword extraction and wordcloud implementation, network analysis and network picture presentation. The research results are as follows; First, the number of articles related to the high school credit system that appeared in major media outlets in Korea for 3 years from 2017 to 2019 was 3,649. The number of articles was sharply increased at a certain point about 4 times, based on the government's announcement of related policies. It showed an increasing news trend. Second, the top 20 keywords that emerged from the press articles related to the high school credit system for 3 years of analysis were presented, and it was confirmed that the keyword change by year appeared. Third, the network of media articles related to the high school credit system was visualized and presented in different ways by person, institution, and keyword. The results of this study confirmed that the high school credit system education policy was adopted as the representative education policy of the Moon Jae-in government, and is proceeding in the policy decision stage and policy implementation stage.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.345-351
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• 2020

Administrative agencies today are paying keen attention to big data analysis to improve their policy responsiveness. Of all the big data, news articles can be used to understand public opinion regarding policy and policy issues. The amount of news output has increased rapidly because of the emergence of new online media outlets, which calls for the use of automated bots or automatic document classification tools. There are, however, limits to the automatic collection of news articles related to specific agencies or departments based on the existing news article categories and keyword search queries. Thus, this paper proposes a method to process articles using classification glossaries that take into account each agency's different work features. To this end, classification glossaries were developed by extracting the work features of different departments using Word2Vec and topic modeling techniques from news articles related to different agencies. As a result, the automatic classification of newspaper articles for each department yielded approximately 71% accuracy. This study is meaningful in making academic and practical contributions because it presents a method of extracting the work features for each department, and it is an unsupervised learning-based automatic classification method for automatically classifying news articles relevant to each agency.

• Informatization Policy
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• v.25 no.4
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• pp.37-64
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• 2018

This study aims to forecast the future of the Korean society via a big data analysis. Based upon two sets of database - a collection of 46,000,000 news on 127 media in Naver Portal operated by Naver Corporation and a collection of 70,000 academic papers of social sciences registered in KCI (Korea Citation Index of National Research Foundation) between 2005-2017, 40 most frequently occurring keywords were selected. Next, their temporal variations were traced and compared in terms of number and pattern of frequencies. In addition, core issues of the future were identified through keyword network analysis. In the case of the media news database, such issues as economy, polity or technology turned out to be the top ranked ones. As to the academic paper database, however, top ranking issues are those of feeling, working or living. Referring to the system and life-world conceptual framework suggested by $J{\ddot{u}}rgen$ Habermas, public interest of the future inclines to the matter of 'system' while professional interest of the future leans to that of 'life-world.' Given the disparity of future interest, a 'mismatch paradigm' is proposed as an alternative to social forecasting, which can substitute the existing paradigms based on the ideas of deficiency or deprivation.

• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1235-1249
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• 2022

This study applied the web crawling technique for extracting big data news on water quality accidents in the water supply system and presented the algorithm in a procedural way to obtain accurate water quality accident news. In addition, in the case of a large-scale water quality accident, development patterns such as accident recognition, accident spread, accident response, and accident resolution appear according to the occurrence of an accident. That is, the analysis of the development of water quality accidents through key keywords and sentiment analysis for each stage was carried out in detail based on case studies, and the meanings were analyzed and derived. The proposed methodology was applied to the larval accident period of Incheon Metropolitan City in 2020 and analyzed. As a result, in a situation where the disclosure of information that directly affects consumers, such as water quality accidents, is restricted, the tone of news articles and media reports about water quality accidents with long-term damage in the event of an accident and the degree of consumer pride clearly change over time. could check This suggests the need to prepare consumer-centered policies to increase consumer positivity, although rapid restoration of facilities is very important for the development of water quality accidents from the supplier's point of view.

• Korean journal of communication and information
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• v.42
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• pp.140-167
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• 2008

This study analyzes the legal reasoning of Seoul Central District Court, which imposed legal liability on portals for posting defamatory user replies to news articles, written and provided by the news media, onto their 'News Windows'. Saddling portals with the burden of verifying the facts associated in news articles and imposing the legal obligation as a publisher entail a grave risk of impairment of free flow of information and freedom of expression. Of course, it would ultimately result in tightening up private censorship of information which the Constitution does not allow, and funker keep portals from posting even news articles in which expressed views and opinions are lawful. When judging whether portals should assume liability fur libelous user replies to news articles, it is necessary to distinguish the territory under the direct authority of portals from cafes and bulletin boards managed by third parties. In addition, imposing legal liability above the level of common carrier should be limited to the cases; when portals arbitrarily change the contents of news articles or when the articles portals changed contain libelous contents. Even if those conditions are met, the altered contents should obviously constitute libel. Only in the presence of proof that portals knew the illegality of news articles and did not take proper steps including deleting those replies, should portals not be considered as an accomplice. Nor should portals take responsibility for users' defamatory replies for those reasons.

• Korean journal of communication and information
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• v.52
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• pp.69-89
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• 2010

We investigated the frames represented in the news media coverage in Korean daily newspapers during dismissal procedure of the director-general of the public service broadcaster, KBS. We analyzed 470 newspaper stories in the period surrounding the dismissal. The use of news frames in newspapers depended on the disposition of outlets, conservative or progressive. Conservative newspapers, ChoSun and DongA, described the dismissal of the director -general with a generally favorable or supportive view, but progressive outlets, Hankyoreh and KyeongHyang, reported more and non-favorable for the issue. Our results showed that conservative newspapers more often used episodic and cause for dismissal frame in the presentation of news, whereas progressive more often used thematic and media independence frames. Main frames commonly used in the news are the cause for dismissal, conflict, media independence, and regime maintenance, respectively, which are formed by 9 minor news frames. Conservative newspapers concentered on the cause attribution; management responsibility, conflicts, and dismissal procedures, but progressive focused on media independence and dismissal procedures. All newspapers selectively quoted groups, institutions and actors to enhance their messages and frames. Finally, there was significant difference between stories in each newspapers and the court's ruling for the dismissal.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.73-80
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• 2008

In this paper, an advertisement-keyword finding method using document clustering is proposed to solve problems by ambiguous words and incorrect identification of main keywords. News articles that have similar contents and the same advertisement-keywords are clustered to construct the contextual information of advertisement-keywords. In addition to news articles, the web page and summary of a product are also used to construct the contextual information. The given document is classified as one of the news article clusters, and then cluster-relevant advertisement-keywords are used to identify keywords in the document. We could achieve 21% precision improvement by our proposed method.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.619-623
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• 2020

한국어는 교착어로 1개 이상의 형태소가 단어를 이루고 있기 때문에 텍스트 분석 시 형태소를 분리하는 작업이 필요하다. 자연어를 처리하는 대부분의 알고리즘은 영미권에서 만들어졌고 영어는 굴절어로 특정 경우를 제외하고 일반적으로 하나의 형태소가 단어를 구성하는 구조이다. 그리고 영문은 주로 띄어쓰기 위주로 토큰화가 진행되기 때문에 텍스트 분석이 한국어에 비해 복잡함이 떨어지는 편이다. 이러한 이유들로 인해 한국어 텍스트 분석은 영문 텍스트 분석에 비해 한계점이 있다고 알려져 있다. 한국어 텍스트 분석의 성능 향상을 위해 본 논문에서는 번역 전처리 기법을 제안한다. 번역 전처리 기법이란 원본인 한국어 텍스트를 영문으로 번역하고 전처리를 거친 뒤 분석된 결과를 재번역하는 것이다. 본 논문에서는 한국어 뉴스 기사 데이터와 번역 전처리 기법이 적용된 영문 뉴스 텍스트 데이터를 사용했다. 그리고 주제어 역할을 하는 키워드를 단어 간의 유사도를 계산하는 알고리즘인 Word2Vec(Word to Vector)을 통해 유사 단어를 추출했다. 이렇게 도출된 유사 단어를 텍스트 분석 전문가 대상으로 성능 비교 투표를 진행했을 때, 한국어 뉴스보다 번역 전처리 기법이 적용된 영문 뉴스가 약 3배의 득표 차이로 의미있는 결과를 도출했다.

• Journal of the HCI Society of Korea
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• v.9 no.2
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• pp.5-12
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• 2014

There was widespread criticism of the online news services due to their bias toward sensational and soft news. Thus, news services based on journalist values are socially requested. News source network analysis(NSNA), an algorithm to cluster and weight news sources, quotes, and articles, is suggested as a method to emphasize on journalist values like facts, variety, depth, and criticism in the previous study. This study suggests 'News Sources' as a visualization tool of NSNA. 'News Sources' shows news as bar graphs, weighted by facts and criticism, and arranged by organizations and subjects. This study designed a beta version using KINDS, a news archive of Korean Press Foundation.

• Proceedings of the KSCN Conference
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• 2003.11a
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• pp.1086-1087
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• 2003

오늘날 급변하는 사회경제적 환경 때문에 현대인의 영양과 건강에 대한 관심은 날이 갈수록 높아지고 있어 대중매체에서도 영양과 건강에 대한 정보를 전달하는 경우가 많아지고 있다. 특히 방송매체 중 공중파 TV 프로그램에서의 정보들은 쉽게 접할 수 있어 올바른 영양 및 건강생활을 위한 정보나 실천지침을 국민들에게 전달되는 통로서의 긍정적인 부분도 있으나 시간상 제작환경상 등의 제약으로 인해 왜곡된 정보를 전달하는 부정적인 부분도 있다. 이에 건강관련 식품영양정보 모니터링을 통해 객관적인 평가와 문제점을 파악한 후 유형별로 분류, 분석하여 개선방안을 마련하기 위해서 본 연구에서는 방송매체중 공중파 TV프로그램 중 정확한 보도와 정보전달을 목적으로 하는 프로그램과 드라마 중 가족드라마를 선정하여 건강관련 식품영양정보의 양적 질적 현황을 파악하고자 하였다. 건강관련 식품영양 정보들에 대한 건수, 시간수, 주제, 취재원, 적절성과 부적절성 평가 및 부적절성의 요인들을 양적 질적으로 평가하여 연도별 비교분석을 하였다. 2002년도 4월 30일부터 2003년 9월 30일까지 모니터링 전문 교육을 마친 식품영양학 전공 모니터원이 조사기간 중 담당 프로그램을 모니터하여 각 프로그램에 나타난 식품영양정보의 양과 질을 조사하여 SPSS 통계팩키지를 사용하여 빈도 및 평균분석을 하였다. 총 모니터건수는 15,226건이었으며, 이중 총 건강관련정보건수는 5,623건으로 36.9%를, 식품영양관련 정보는 4,848건으로 31.8%를 차지하는 것으로 분석되었다. 총 건강관련 정보 대비 식품영양정보건수의 비율은 86.2%로 높게 나타났다. 뉴스프로그램의 총 건강관련 정보수는 17.9%에서 16.1%, 식품영양정보수의 비율은 6.6%에서 3.6%로 낮아졌으며, 건강정보프로그램의 총 건강관련 정보수는 51.5% 에서 94.6%, 식품영양정보수의 비율은 32.4%에서 57.4%로 높게 나타났다. 드라마의 식생활관련 장면 방송시간비율은 20.8%에서 17.2%로 낮게 나타났다. 뉴스프로그램에서 건강관련정보가 가장 많이 보도되는 달은 2002년 10월, 2003년 9월로 나타났다. 건강관련 정보의 주제로는 뉴스프로그램은 질환, 건강정보프로그램은 음식, 어린이교육프로그램은 식품, 노인정보프로그램은 생활습관이 가장 높게 나타났다. 정보의 취재원으로는 전문가와 일반인의 인터뷰가 73.7%로 가장 많았다. 식품영양정보의 부적절한 평가율은 뉴스는 49.3%에서 72.2%로, 건강정보프로그램은 54.0%에서 67.8%로 2002년보다 2003년도에 높게 나타났으나, 드라마는 63.2%에서 16.2%로 낮게 나타났으며, 어린이교육프로그램 40.0%, 노인정보프로그램 17.9%인 것으로 나타났다. 드라마의 식생활 장면에서 음식의 양이 부적절한 경우는 28.6%에서 15.8%로 낮아졌으나, 음주장면의 경우 10.7%에서 11.5%로 증가하였음은 앞으로 개선이 필요하다고 생각된다. 흡연 장면의 경우 드라마상의 흡연장면 방송금지 선언의 여파로 1.6%에서 0.2%로 감소하였다. 뉴스 및 정보프로그램에서는 부적절한 평가를 받은 정보들은 적정섭취량이나 실생활에 활용할 실천방안 등에 대한 제시가 없는 경우가 가장 많았으며, 전문용어에 대한 설명부족, 영양가 비교기준이 다르거나, 식품 등의 효과에 대한 내용이 과장된 경우가 많았다. 드라마의 경우 음주, 커피, 야식 등 불필요한 식사장면이 많이 나오거나 음식의 양이 사람수에 비해 많다라는 평가가 가장 높게 나타났다. 연구 결과 TV 프로그램에서 다루는 건강관련 정보기사가 차지하는 비율과 이중 식품영양정보기사가 차지하는 비율이 높아지고 있으나 건강관련정보기사의 질적인 평가에서는 부적절한 평가를 받은 비율도 함께 높아지고 있어 이의 개선이 시급히 요구된다.