• Title/Summary/Keyword: 신문 기사 분석

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Critical Review of Discourse on Aging in Korean Newspaper (대중매체에서의 신노년 담론 분석:신문매체를 중심으로)

  • Han, Gyounghae;Yoon, Sung-eun
    • 한국노년학
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    • v.27 no.2
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    • pp.299-322
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    • 2007
  • The purpose of this study is to critically review recent discourse on aging appeared in Korean newspapers. For this purpose, 1,725 articles on 'aging' or 'elderly' appeared on three major Korean newspapers during 1997- 2006 are analyzed. It is shown that there is a recent surge of articles portraying the positive images of aging in Korean newspapers emphasizing the importance of productive, successful aging and active life style of the elderly. This trend is a welcomed change from the negative images of elderly as dependent burden of society. However, it seems that over emphasis on positive aging and 'New Elderly' might have created another stereotype about the elderly and unintentionally marginalize the certain group of the elderly. By focusing on individual responsibility, it also overlooked the constraints imposed by social structure on disadvantaged elderly group, such as women, elderly in low socio-economic strata. Theoretical and policy implications of this trends are discussed.

The Analysis of News Articles and Currency Exchange Rates (신문 기사와 환율 분석)

  • Kim, Dong Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.89-91
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    • 2017
  • A currency exchange is the rate to exchange currencies between different countries and the one of important factors to measure the economic size or status of a country. The currency exchange is affected by various economic or social events and changed dynamically. However, since too many economic and social factors affect the exchange rate and the leverage rate of each factor is so floating, it is difficult to define clearly the relationships between the exchange rate and the specific factor. In this paper, we analyze the data pattern for the exchange rate and news articles. To do this, we counts the frequencies of words presented in the news articles during specific periods and compare the frequencies with the margins of exchange rates.

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The Trends of Eco-Friendly Textiles Using Big Data from Newspaper Articles (신문기사 빅데이터를 활용한 친환경 섬유의 추이에 관한 연구)

  • Nam Beom Cho;Choong Kwon Lee
    • Smart Media Journal
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    • v.13 no.2
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    • pp.95-107
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    • 2024
  • The development of environmentally friendly products and services has become a trend, and the development and utilization of eco-friendly textiles with economic value is gaining attention as a new business model. Analyzing and identifying trends and developments in eco-friendly textiles can provide important information and insights for various stakeholders such as companies, governments, and consumers to help them achieve sustainable growth. For this study, we collected and analyzed data from newspaper articles mainly covering the textile and fashion sector from 2000 to June 2023. A total of 12,331 articles containing the keyword 'eco-friendly textiles' were collected, and after performing morphological analysis on the extracted data, Latent Dirichlet Allocation and Dynamic Topic Modeling analysis were performed to identify topics by year. The results of the study are expected to provide strategic guidance and insights for the sustainable development of the textile industry, thereby helping to promote the research, development, and commercialization of eco-friendly textiles.

An Analysis of Newspaper Coverage of Korean Movie Stars : Focusing on the Image of Movie Stars and Reporting Trend (신문의 한국 영화스타 보도 내용분석 : 영화스타의 이미지와 보도 경향 중심으로)

  • Tae, Bo-Ra
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.535-549
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    • 2019
  • The purpose of this study was to examine what kind of images were presented on movie stars in the newspaper. For the purpose, we classified the time period according to the movie industry and media trend, selected representative stars by period, and collected 798 related articles reported in newspapers. As a result of analyzing the reporting trend, domestic and foreign topics, news format, and gender difference in collected movie star articles, it was found that the image of movie stars reproduced in newspaper articles had mostly neutral images that do not represent specific gender. Since the 2000s, news coverage was changed to reproduce various images rather than being fixed to particular images, and the subject of report became more diversified through comparison of domestic and foreign topics. In addition, articles in the form of book review decreased and the interview-type articles increased in number, and in the case of male movie stars, the proportion of articles based on works was high in comparison to female movie stars. This study has significance in that it explored the changes in the process of reproducing star images diachronically from the initial stage of stars to the modern times. And it is hoped that this study will serve as basic data for the follow-up studies on the process of reproducing various images in the multi-media era.

A Study on Automatic Classification of Newspaper Articles Based on Unsupervised Learning by Departments (비지도학습 기반의 행정부서별 신문기사 자동분류 연구)

  • Kim, Hyun-Jong;Ryu, Seung-Eui;Lee, Chul-Ho;Nam, Kwang Woo
    • 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.

Topic Modeling of Newspaper Articles on Government 'Senior job program' via Latent Dirichlet Allocation. (잠재디리클레할당 분석을 이용한 '노인일자리' 관련 신문기사 토픽분석)

  • Lee, So-Chung
    • Journal of Digital Convergence
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    • v.18 no.10
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    • pp.537-546
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    • 2020
  • This study aims to find the structure of social disussion on government 'Senior job program' by analyzing 1107 newspaper articles on 'senior job program' from 11 major newspaper articles and 8 financial newspapers. Topic modeling via latent dirichlet allocation model was employed for analysis and as result, 5 latent topics were extracted as follows : general information, local government project propaganda, senior life related issues, employment creation effect and market relations. Until 2015, most of the articles focused on the first two topics, indicating not much discourse was formed concerning the characteristics of the program. However, after 2015, the third topic started to increase and after the launch of Moon Jae In government, there has been a drastic increase in the employment creation related topic indicating that current social discourse mirrored by the media is definitely focused on employment creation aspect of senior job program. Based on the result, this study suggests the necessity to increase the quality and also enhance employment aspects of Senior job program.

A Study on the Media Coverage of Public Issue: Focusing on Drinking-Water Issues (공적 이슈에 대한 미디어 보도 분석: 수돗물 관련 기사를 중심으로)

  • Kim, Sung-Tae;Lee, Chang-Ho
    • Korean journal of communication and information
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    • v.39
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    • pp.40-68
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    • 2007
  • Despite many efforts to improve water and publicize Arisu, ordinary citizens' distrust in water is still intense. This study aims to analyze how newspapers, television and internet media in Korea covered water-related news, focusing on the type of articles, themes, news sources, and news values. As a result, the mostly mentioned theme in the media was the discussion about suitability of water as a drinking water, followed by impurified water, governmental policy on water, coverage on the water pipe, and result of examination of water quality. Also among newspapers, broadcasting, and the internet, the internet medium showed the most negative tone in covering water. Stories written by journalists with expertise were less than 1% whereas stories by ordinary journalists were mostly found. In conclusion, to cover public issues like water desirably, it is necessary to bring up journalists with expertise in environmental issues, to diversify news sources, and to do investigative reporting rather than reporting appealing to audience's amusement.

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