• Title/Summary/Keyword: Korean news articles

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A Study on Children's Cosmetics Based on Analyzing Internet News and Best Items (인터넷 기사와 Best Item 분석을 통해 살펴본 어린이 화장품 연구)

  • Shim, Joonyoung
    • Journal of Fashion Business
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    • v.22 no.2
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    • pp.134-149
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    • 2018
  • The number of children wearing make-up is increasing. "Children's cosmetics" is not a legal term though it is commonly used. The purpose of this study is to analyze discussions on children's cosmetics based on news articles found on the internet. This study also identifies what products are being distributed as children's cosmetics. Keyword searches were conducted using internet portal sites. Information was extracted from news articles and Best Item 100 for children's cosmetics. The results of analyzing news articles and Best Item 100 lists are as follows : 1. There were two main discussion topics in news articles. The first topic was related to marketing(the branding and trends of children's cosmetics). The other topic was about government regulations(side effects, harmful ingredients, control, regulations, attention, proper product usage, product categorization, and the overall safety of children's cosmetics). By 2014, many articles had covered government control and regulation. However, since 2017, news articles have focused on the product categorization and the concern for overall safety has dramatically increased. 2. Three different product categories have appeared in the Best Item 100; they are cosmetics, toys, and other products. In market, consumers recognized children's cosmetics as cosmetics and also as toys. Between 2017 and 2018's Best Item, other products are dramatically down, color cosmetics and single cosmetics are on the rise, and the purchase of domestic products has increased.

The Image of Nursing projected in Newspapers (신문에 나타난 간호의 이미지에 관한 연구)

  • 정면숙;강영실
    • Journal of Korean Academy of Nursing
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    • v.23 no.1
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    • pp.16-28
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    • 1993
  • The purpose of this study was to identify the im-. age of nursing, that is, to see how nursing is viewed in newspapers. Articles about nursing from two Korean daily newspapers from Jan. 1, 1987 to Dec.31, 1991 were examined for subject, type, attitude and author-ship. The inter-rater reliability was 0.89(by The Holsti method). The major findings were as follows : 1. The total number of articles were 110. 2. As for the subjests matter, articles related to professional nursing activities appeared most frequently(29.6%) , there about labor issues and activity to promote nurses's job climate 19.4%, and about official activities of nursing 11.2%. 3. Commentary articles appeared most frequently(41.2%) , Other article forms were straight news(27. 1%), contribution(17.6%) and inter-views (10.6%). 4. Feature stories acounted for 62.4% and news articles for 37.6%. Most of the articles were of national interests(96.5%), the rest(3.5%) of news from abroad. 5. Articles favorable toward nursing accounted for 54.1%, neutral 28.2%, negative 17.6%. 6. Many articles were written by the reporters (66.3%).

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Predicting Stock Prices Based on Online News Content and Technical Indicators by Combinatorial Analysis Using CNN and LSTM with Self-attention

  • Sang Hyung Jung;Gyo Jung Gu;Dongsung Kim;Jong Woo Kim
    • Asia pacific journal of information systems
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    • v.30 no.4
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    • pp.719-740
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    • 2020
  • The stock market changes continuously as new information emerges, affecting the judgments of investors. Online news articles are valued as a traditional window to inform investors about various information that affects the stock market. This paper proposed new ways to utilize online news articles with technical indicators. The suggested hybrid model consists of three models. First, a self-attention-based convolutional neural network (CNN) model, considered to be better in interpreting the semantics of long texts, uses news content as inputs. Second, a self-attention-based, bi-long short-term memory (bi-LSTM) neural network model for short texts utilizes news titles as inputs. Third, a bi-LSTM model, considered to be better in analyzing context information and time-series models, uses 19 technical indicators as inputs. We used news articles from the previous day and technical indicators from the past seven days to predict the share price of the next day. An experiment was performed with Korean stock market data and news articles from 33 top companies over three years. Through this experiment, our proposed model showed better performance than previous approaches, which have mainly focused on news titles. This paper demonstrated that news titles and content should be treated in different ways for superior stock price prediction.

Comparative analysis of domestic news trends in Korean Medicine from 2018 to 2022 (한의약에 대한 국내 언론보도 경향 분석 : 2018년~2022년 뉴스 기사 비교)

  • Nayoon Jin;Youngseon Choi;Byungmook Lim
    • Journal of Society of Preventive Korean Medicine
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    • v.27 no.3
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    • pp.1-12
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    • 2023
  • Objectives : The aim of this study is to analyze the news articles related to Korean Medicine(KM) and compare trends in news reports from 2018 to 2022. Method : News articles related to KM were collected through the BigKinds, the news bigdata service of the Korea Press Foundation. News reports from 1 January 2018 to 31 December 2022 were searched. 2,950 news articles out of a total of 12,497 met the inclusion criteria. First, quantitative changes in media coverage were analyzed by year, media outlet, and month. For qualitative analysis, two authors independently coded the content of news articles, discussed them until consensus, and consulted with a third researcher to classify them. In addition, keywords extracted by the BigKind's Topic Rank algorithm were compared and analyzed in each year. Results : The number of news articles on KM decreased by 42% in 2022 compared to 2018. Over a fiveyear period, the Naeil Shinmun reported the most on KM among newspapers, while the Hankyoreh did the least. Among broadcasters, YTN reported the most and SBS did the least. When analyzing the reports by category, the most common was 'treatment', followed by 'prevention' and 'scientification'. As a result of extracting keywords with high weight and frequency, 'immunity' and 'immune system' ranked the first and second in 2018, while 'COVID 19' and 'medical law violation' did in 2022. Conclusion : The decrease in media reports on KM during the COVID-19 epidemic period seems to be due to the limited role of KM in responding to infectious diseases, and efforts to expand the scope of KM can induce increased media reports and social interest.

A Frame Analysis of Nurse-related Articles from Korean Daily Newspapers (국내 주요 일간지에 나타난 간호사 관련 기사의 프레임 분석)

  • Na, Mi Su;Kang, Jeong Hee
    • The Journal of Korean Academic Society of Nursing Education
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    • v.24 no.4
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    • pp.453-462
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    • 2018
  • Purpose: This study analyzed how the four nurse-related news items 'talent show,' 'neonatal death,' 'nurse's death,' and 'sexual harassment' were portrayed in Korean daily newspaper articles. Methods: A total of 392 newspaper articles published from November 2017 to May 2018 were retrieved through the internet homepages of three newspapers, the Chosun Ilbo, the Dong-a Ilbo, and the JoongAng Ilbo and through a database for 13 other newspapers. Articles were analyzed for their views on nurses and their structural and contextual frames. Results: Articles with the highest frequency of mentioning nurses' death appeared in the JoongAng Ilbo; these were written as straight news articles. In the analyzed articles, nurses were portrayed mostly as victims, troublemakers, passive, or selfish. Articles were written mostly in episodic, incident notice, or attribution of responsibility frames. Conclusion: It was not uncommon to read articles with negative views on nurses; most of these articles focused only the four major incidents as straight news type stories. Future efforts are needed to study the implications of newspaper articles with negative views on nurses and the frames most commonly used.

A Heuristic Method of In-situ Drought Using Mass Media Information

  • Lee, Jiwan;Kim, Seong-Joon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.168-168
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    • 2020
  • This study is to evaluate the drought-related bigdata characteristics published from South Korean by developing crawler. The 5 years (2013 ~ 2017) drought-related posted articles were collected from Korean internet search engine 'NAVER' which contains 13 main and 81 local daily newspapers. During the 5 years period, total 40,219 news articles including 'drought' word were found using crawler. To filter the homonyms liken drought to soccer goal drought in sports, money drought economics, and policy drought in politics often used in South Korea, the quality control was processed and 47.8 % articles were filtered. After, the 20,999 (52.2 %) drought news articles of this study were classified into four categories of water deficit (WD), water security and support (WSS), economic damage and impact (EDI), and environmental and sanitation impact (ESI) with 27, 15, 13, and 18 drought-related keywords in each category. The WD, WSS, EDI, and ESI occupied 41.4 %, 34.5 %, 14.8 %, and 9.3 % respectively. The drought articles were mostly posted in June 2015 and June 2017 with 22.7 % (15,097) and 15.9 % (10,619) respectively. The drought news articles were spatiotemporally compared with SPI (Standardized Precipitation Index) and RDI (Reservoir Drought Index) were calculated. They were classified into administration boundaries of 8 main cities and 9 provinces in South Korea because the drought response works based on local government unit. The space-time clustering between news articles (WD, WSS, EDI, and ESI) and indices (SPI and RDI) were tried how much they have correlation each other. The spatiotemporal clusters detection was applied using SaTScan software (Kulldorff, 2015). The retrospective and prospective cluster analyses were conducted for past and present time to understand how much they are intensive in clusters. The news articles of WD, WSS and EDI had strong clusters in provinces, and ESI in cities.

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A Study on the Property Values of News Articles and Copyright Infringement (보도기사의 재산권적 가치와 무단전재를 통한 저작권 침해에 관한 연구)

  • Kim, Gyong-Ho
    • Korean journal of communication and information
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    • v.39
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    • pp.324-354
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    • 2007
  • Facts, which constitute news, are as free as air. When they are transformed into news via labor and capital investment of a news organization, the news is deemed to have property values, and the media can claim exclusive rights over the news. The copyright law protects the originality of a work, the uniqueness of reporter's analysis, the selection of words, the arrangement of materials, and the emphasis given on particular points. The name of the game of copyright infringement lies in the infringement of the similarity of the method of expression, not the infringement of the subject. Even though news articles convey information by specifying factual elements of an event or accident, they still have some originality. The judgement that news articles lack of originality is inconsistent with the purpose of the copyright law. Therefore, the law should be amended to articulate that the unauthorized use of news articles without a proper citation shall be the subject of legal action, and courts should decide related cases accordingly.

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Language Model Adaptation for Broadcast News Recognition (방송 뉴스 인식을 위한 언어 모델 적응)

  • Kim Hyun Suk;Jeon Hyung Bae;Kim Sanghun;Choi Joon Ki;Yun Seung
    • MALSORI
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    • no.51
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    • pp.99-115
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    • 2004
  • In this parer, we propose LM adaptation for broadcast news recognition. We collect information of recent articles from the internet on real time, make a recent small size LM, and then interpolate recent LM with a existing LM composed of existing large broadcast news corpus. We performed interpolation experiments to get the best type of articles from recent corpus because collected recent corpus is composed of articles which are related with test set, and which are unrelated. When we made an adapted LM using recent LM with similar articles to test set through Tf-Idf method and existing LM, we got the best result that ERR of pseudo-morpheme based recognition performance has 17.2 % improvement and the number of OOV has reduction from 70 to 27.

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Portal's Liability for User Reply to News Article, Provided by the News Media -A Critical Analysis on 2005 GaHap64571 of Seoul Central District Court- (언론사로부터 전재 받은 뉴스기사의 댓글에 대한 포털의 작위의무 -서울중앙지법 2005가합64571 판결에 대한 비판적 고찰-)

  • Kim, Gyong-Ho
    • 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.

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A Study on the Change of Relation between Countries through Analysis of Portal News Articles: Focusing on the Czech Republic (포털 뉴스 기사 분석을 통한 국가 간 관계 변화 추이 연구 - 체코를 중심으로 -)

  • Kim, Jinmook
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.2
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    • pp.159-178
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    • 2019
  • The purpose of the study is to examine the trend in the change of relation between countries (Czech and Korea) through analysis of portal new articles. In order to achieve the purpose, we analyzed news articles about Czech from 1990 to March 31st, 2019. We divided it into 6 periods by every 5 years, reviewed 200 news articles for each period totaling 1,200 news articles, and categorized them into 4 categories by subject (politics, economy, society and culture, and educations). The result of the study showed the subject of society and culture represented the largest proportion of all news articles. We also found that the range of changes in the sub-categories of society and culture occurred most extensively. We concluded the paper with several suggestions that could promote cooperation between Korea and Czech.