• Title/Summary/Keyword: 신문기사 내용분석

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A Study on the Public Relations of Public Libraries through Newspaper Article Analysis: The Case of Eunpyeong Public Library (신문기사 분석을 통한 공공도서관의 홍보에 관한 연구 - 은평구립도서관의 사례를 중심으로 -)

  • Cho, Chan-Sik
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.1
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    • pp.223-240
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    • 2012
  • This study aimed to enhance our understanding of the public relations of public libraries through newspaper article analysis. Thus, this study built a theoretical background on the public relations of public libraries through newspaper articles. It examined newspaper articles on Eunpyeong Public Library in 2010 according to newspaper classification, article type, and article content among others. Accordingly, this exploratory case study, which used the methods of content analysis, interview, and site visit, analyzed them, with emphasis on such factors as the subjects, objects, direction, contents, and methods that influenced the public relations of public libraries.

A Content Analysis of Korean Newspaper Coverage of Information Technology (신문기사에 나타난 정보기술의 활용)

  • 정경수;박영석
    • The Journal of Information Technology and Database
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    • v.1 no.1
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    • pp.83-106
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    • 1994
  • 본 연구는 정보기술에 관련된 신문기사의 내용과 성격에 관하여 분석하였다. 동아일보와 조선일보양대 일간지를 88년 1월 부터 92년 12월 까지 5년동안 조사하였으며 총 1551건의 정보기술 관련 기사를 분석하였다. 조사결과를 보면 1988년 부터 1992년 사이에 양대 신문에 나타난 정보기술 관련기사가 점점 더 증가하는 추세를 보였으며 이는 정보화사회의 도래와 함께 정보기술이 우리사회의 여러분야로 확산되고 있음을 잘 보여주고 있다고 하겠다. 기사의 내용은 원격통신, 신제품 개발, 컴퓨터관련 교육, 하드웨어와 소프트웨어의 개발과 유통 등에 관련된 기사가 주류를 이루었으며 그외에 공장자동화, 사무자동화, 가사자동화, 컴퓨터관련 범죄, 데이타베이스, 지역정보화, 멀티미디어 등에 관한 주제가 다루어졌다. 한편, 정보기술 관련기사의 성격은 기존의 신문기사에서 부정적인 기사가 주류를 이루고 있는 것과는 달리 긍정적인 기사가 큰 비중을 차지하고 있는 것으로 드러났다. 이는 정보기술이 비교적 새로운 분야이므로 정보기술의 부정적인 측면보다 긍정적인 측면을 부각시키고 있기 때문인 것으로 판단된다. 그러나 최근의 기사에서는 컴퓨터 사용에 관련된 문제점, 컴퓨터를 이용한 범죄, 개인의 프라이버시 침해 등 부정적인 측면의 문제도 제기되고 있다. 신문기사의 내용분석에 의하면 기업의 업종에 따라 정보기술의 활용면에서도 분명한 차이를 보여주고 있는데 제조업의 경우 기업의 내부 물적활동, 생산활동, 외부 물적활동에 관한 기사들이 많았으며 서비스업종의 경우에는 고객에 대한 협상력을 증가시키는데 관련된 기사들이 많았고, 하드웨어나 소프트웨어 산업의 경우에는 고객에 대한 협상력을 증가시키는 문제와 함께 대체재의 개발에 관련된 기사도 많이 등장하였다.

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Content Analysis on the News Report Cases of Vibrio (내용분석을 통한 언론의 비브리오 보도사례 분석)

  • Woo, Ha-Joong;Kim, Young-Kyu
    • Journal of the Korean Society of Food Culture
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    • v.22 no.4
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    • pp.492-497
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    • 2007
  • The objectives of this study are to determine the full extent of the negative media reports and to broaden public awareness through content analysis. Samples of this study are news reports on vibrio on three major broadcasting companies such as MBC, KBS and SBS and three major national newspapers such as Chosun daily, Joongang daily and Donga daily in Korea for 5 years from January 1st in 2000 to December 31st in 2004. Total 628 cases were searched through from the web sites of fore mentioned TV and newspaper companies. It is highly advised to adhere to the proven fact as much as possible and full and thorough research on the outcome should be sought by media before they reach to the public.

Comprehension of a News Story on SNS in Comparison to the Traditional Newspaper (소셜미디어에서의 뉴스 정보 수용과 전통 미디어 뉴스 읽기의 비교 카카오톡의 대화와 신문 비교를 중심으로)

  • Lee, Mina;Yang, Seungchan;Seo, HeeJung
    • Korean journal of communication and information
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    • v.81
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    • pp.299-328
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    • 2017
  • This study investigated news comprehension via the social media by comparing the reading of a news story on the news paper. A news story on the social media was suggested to present information in a conversational form, which differs from a traditional reporting style. To compare the different forms of news information presentation, two conditions were created: in a control condition, a news story was written in a traditional reporting form. In the experimental condition, the same news story was constructed in a conversational form. Participants were assigned randomly in one of two conditions. They read the news story and afterwards, they were asked to recall firstly, the core idea of the news story, secondly the whole news story, and finally to answer to the 10 questions that assessed how well they learned from the news story. Participants' responses were content-analyzed and produced six variables, the extent to recall the core idea, the extent to recall the whole story, the extent to recall wrong information, the extent to recall additional information, the extent to recall causally related contents in general, and finally the extent to recall causally related contents in story-specific. Analyses on the six variables revealed that the group in the news paper condition recalled more core idea, the whole story, and additional information than the group in the social media. But the news paper condition recalled less of wrong information than the group in the social media condition. Additionally, the news paper condition learned more than the group in the social media. Regarding the recall of causally related contents, the general causal relationships were recalled more in the group in the social media condition but the story specific causal relationships were recalled more in the group in the news paper condition. The findings seemingly indicated that a traditional news reporting contributes to news story comprehension more than the conversational form. Authors however added discussions and advised that the findings needed to be read under caution.

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A comparative study of news media coverage on the presidential candidate's commitments: applying Content Analysis method (대통령후보 공약에 대한 언론보도 비교연구: 보수적 언론과 진보적 언론의 내용분석을 중심으로)

  • Hong, Yong-Rak
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.85-95
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    • 2017
  • The news media report the pledges of presidential candidates, which have important implications for political communication. This study is to investigate the difference between news coverage on the presidential candidate' s pledge and to discuss its implications. The sampled news from the two newspapers were analyzed for content analysis. Frequency analysis and Chi-square analysis are utilized with SPSS. As results, there was no difference in the tone of the article's headlines, but the difference of the tone between the article content was statistically significant. The results means that the media framing affect on the reader's perception. Follow - up study can be suggested a comparative study of past election candidates 'pledge reports, a network analysis for the news language, and a comparative analysis of newspaper coverage and broadcast coverage.

An Analysis of the Social Image of Library: Focused on the Analysis of Newspaper Articles (도서관에 대한 사회적 이미지 분석 연구 - 신문기사분석을 중심으로 -)

  • Kim, Ji-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.49 no.4
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    • pp.219-236
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    • 2018
  • This study investigated the image of library in our society by analyzing newspaper articles related to libraries. A total of 3065 newspaper articles reported in Kyunghyang, Hankyoreh, Chosun, and Joongang from 2000 to 2017 were analyzed using time series analysis. The results of the time series analysis showed the number of newspaper articles related to library declined to a peak in 2009. Also, there were differences in the content of newspaper articles by year except for those content related to books. There were many articles about 'information' and 'use' in early 2000, about 'library operation and opening', 'culture' from 2006, and about 'residents of the area', 'culture' after 2012. These content of newspaper articles may reflects the image of library in our society. Finally, this study dis cussed practical ways of public library promotion.

Change of Attitude Toward the Artistically Gifted: Seen through Newspaper Articles from 1999 to 2013 (예술영재에 대한 인식 변화: 1999~2013 신문기사 내용분석을 통하여)

  • Park, Kyungbin;Park, Hyun-Jin;Yoon, HyeJeong
    • Journal of Gifted/Talented Education
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    • v.23 no.5
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    • pp.731-750
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    • 2013
  • Conceptions toward the artistically gifted were investigated through analyzing newspaper articles from 5 major newspapers for 14 years beginning from 1999 to 2013. There were a total of 1,281 articles having to do with artistically gifted, and showed a steady increase in number of articles as the years went by. Largest number of articles were about musically gifted, and an increase in number of articles were observed following new implementations in law and policy. Implications for education and policy development for the artistically gifted are discussed.

Study on the Risk Communication of Radioactive Waste Material in Newspaper (방사성폐기물관련 신문의 위험보도내용 분석)

  • 김수근;안소현;김종순
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2003.11a
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    • pp.251-255
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    • 2003
  • 방사성폐기물 관리시설에 관한 신문의 관심은 매우 컸으며, 3개월 동안에 480건의 기사를 8개 신문에서 실었다. 사설도 38건이었으나 상황과 사안에 따라 모든 신문이 정형화된 내용과 비판을 하였다. 기사는 대부분 정부의 보도 자료에 의존한 하거나, 시위소식 등을 전하는 단순사안이었고, 심층보도는 이 사업 추진에 가장 큰 장애요소가 되고 있는 지역주민과 시민단체의 반대논리와 여론을 이해할 수 있도록 전달하지 못하였다. 특히 가장 쟁점이 될 수 있는 방사성폐기물의 위험과 안전에 대해서는 68건의 심층 보도 가운데 17건에서만 언급되고 있었는데, 그 내용도 위험성과 안전에 대한 해설이나 분석기사는 아니었다. 결과적으로 신문은 정부와 지역주민간의 갈등을 해결하는 조화의 장을 이끌어 내거나 제공하지 못하였고, 찬성과 반대 측 전문가들에게 공론의 장을 제공하여 사회적 합의를 도출하는데 기여하지는 못하였다. 오히려 많은 기사 보도의 남발로 방사성폐기물 관리시설에 대한 부정적인 이미지를 부각시키는 영향만 남았다고 판단된다.

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Feature Extraction to Detect Hoax Articles (낚시성 인터넷 신문기사 검출을 위한 특징 추출)

  • Heo, Seong-Wan;Sohn, Kyung-Ah
    • Journal of KIISE
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    • v.43 no.11
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    • pp.1210-1215
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    • 2016
  • Readership of online newspapers has grown with the proliferation of smart devices. However, fierce competition between Internet newspaper companies has resulted in a large increase in the number of hoax articles. Hoax articles are those where the title does not convey the content of the main story, and this gives readers the wrong information about the contents. We note that the hoax articles have certain characteristics, such as unnecessary celebrity quotations, mismatch in the title and content, or incomplete sentences. Based on these, we extract and validate features to identify hoax articles. We build a large-scale training dataset by analyzing text keywords in replies to articles and thus extracted five effective features. We evaluate the performance of the support vector machine classifier on the extracted features, and a 92% accuracy is observed in our validation set. In addition, we also present a selective bigram model to measure the consistency between the title and content, which can be effectively used to analyze short texts in general.