• Title/Summary/Keyword: 한국 언론사 연구사

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A Study on the History of the Press during the Japanese Ooccupation Period and "Josun Shinmun Sosa" by Ahn Jae-Hong (일제강점기 언론사연구와 안재홍의 "조선신문소사(朝鮮新聞小史)")

  • Kim, Young-Hee
    • Korean journal of communication and information
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    • v.64
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    • pp.85-108
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    • 2013
  • This paper aims to review Ahn Jae-Hong's studies on the history of the Korean press from the perspective of research history focussing his "Josun Shinmun Sosa(A Short History of the Korean Press)" published in 1935. For this purpose major discussions with respect to journalistic history during the Japanese occupation period are reviewed. The result reveals that Ahn Jae-Hong's studies using a comparative method and a social historical approach are judged to be the most representative outcomes at that time. The "Josun Shinmun Sosa" first explains "Inhaeng Jobo" and "Jeobo" as an origin of newspaper, and then explains various subjects on newspaper phenomena in the latter era of the Chosun Dynasty such as participants of major newspapers, the tone of newspapers, the analysis of newspaper character through evaluation of main articles, the system of newspaper, newspaper advertisements, pro-Japanese newspapers, newspapers managed by Japanese, newspapers for overseas Korean, etc. But partly it gives a general description rather than a detailed research due to the nature of contributions to the newspaper, and also includes an objective analysis and a subjective impression together. Nevertheless his researches can be valued as pioneering pieces of work as they comprehensively handled various objects of study on newspapers and gave new angle and orientation of interpretation on the newspaper phenomena at that time. Also it is judged that they had an effect on the period division as well as the description methods for the study of the history of the Korean press.

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Forecasting the Future Korean Society: A Big Data Analysis on 'Future Society'-related Keywords in News Articles and Academic Papers (빅데이터를 통해 본 한국사회의 미래: 언론사 뉴스기사와 사회과학 학술논문의 '미래사회' 관련 키워드 분석)

  • Kim, Mun-Cho;Lee, Wang-Won;Lee, Hye-Soo;Suh, Byung-Jo
    • 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.

An Exploratory Study on Gotcha Journalism (가차 저널리즘(gotcha journalism), 탐색적 연구: 노무현정부 출범 이후 정치보도를 중심으로)

  • Kim, Dong-Yule
    • Korean journal of communication and information
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    • v.29
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    • pp.43-71
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    • 2005
  • The study attempts to introduce 'Gotcha Journalism' to the Korea journalism, research and analyze it. Gotcha journalism is the journalistic reporting attitude that the journalists repeatedly and intensively reports public figures, especially politicians' mistakes or happening. 'Gotcha' is abbreviation of "I got you", frequently used in the English and American culture. In order to get the goal of this study, several journalists who are currently working for Chosun, Joongang, Dong-a, Hangyore, Kyunghyang and Seoul, national covering daily newspapers. In addition, the reporters who work for KBS, MBC, and SBS were Interviewed. All journalists who have been worked more than 5 years at the politic department were selected as interviewees. Thus, Intensive interviews are prime source of this study. Based the result of the research, gotcha journalism is externally derived from obsessive interest of Korean people to politics. Internally, it is easy to report happening or mistakes rather than big argument or ideological agenda of the politicians as news for journalists and to catch readers. In addition, the competition with advertising income accelerates this situation. And gotcha journalistic reporting behavior or attitude highly relates to political propensity of the newspapers or broadcastings. Especially some of the newspapers take gotcha journalism as a political struggling tool. It is appeared that another major cause for gotcha journalistic reporting behavior is customer-driven news production.

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Building a Korean Text Summarization Dataset Using News Articles of Social Media (신문기사와 소셜 미디어를 활용한 한국어 문서요약 데이터 구축)

  • Lee, Gyoung Ho;Park, Yo-Han;Lee, Kong Joo
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.8
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    • pp.251-258
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    • 2020
  • A training dataset for text summarization consists of pairs of a document and its summary. As conventional approaches to building text summarization dataset are human labor intensive, it is not easy to construct large datasets for text summarization. A collection of news articles is one of the most popular resources for text summarization because it is easily accessible, large-scale and high-quality text. From social media news services, we can collect not only headlines and subheads of news articles but also summary descriptions that human editors write about the news articles. Approximately 425,000 pairs of news articles and their summaries are collected from social media. We implemented an automatic extractive summarizer and trained it on the dataset. The performance of the summarizer is compared with unsupervised models. The summarizer achieved better results than unsupervised models in terms of ROUGE score.

A Study on the Erasure of Japanese National Flag in Dong-A Ilbo (["동아일보"]의 일장기 말소 사건 연구)

  • Chae, Baek
    • Korean journal of communication and information
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    • v.39
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    • pp.7-39
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    • 2007
  • This study tried to revaluate the Erasure of Japanese National Flag in Dong-A Ilbo. In spite of its historical significance, this event was not explored thoroughly by researchers. While it was known as Chosunjoongang-Ilbo erased the Japanese National Flag earlier than Dong-A Ilbo on August 13 1936, but this study found out that Dong-A Ilbo erased the Japanese National Flag in the local morning edition of the same day. With the victory of Kijeong Son in the Berlin Olympic Marathon the nationalistic coverage of Dong-A Ilbo seemed to be revived. And this change caused the severe suppression by the colonial Japanese government. The government intended to eliminate the influences of Seongsu Kim and Jinwoo Song to make Dong-A Ilbo more cooperative partner. But because the intention of the government was not acceptable to two men, Dong-A Ilbo posed a noncooperative stance. This resulted in the longest suspension over 9 months. Finally with the change of stance to a compromising one, Dong-A Ilbo could be released from the longest suspension on June 3rd, 1937.

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Perceptions of Disabled Sports in Newspapers Using Semantic Networks Analysis (신문기사에 나타난 장애인스포츠에 대한 인식 -의미연결망을 활용한 빅데이터 분석-)

  • Han, Min-kyu;Kim, Won-Kyoung;Yoon, Jiwun
    • 재활복지
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    • v.20 no.4
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    • pp.157-175
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    • 2016
  • The purpose of this study was to analyze the perceptions of disabled sports that were reported the newspapers using semantic network analysis method. for this purpose, 745 news articles were selected from 21 source in Naver news searching engine. The main keyword for searching on newspapers was 'disabled sports'. Krkwic software was used for keyword cleansing and co-occurrence of text to text matrix in frequencies. Centrality indices that are degree, between and eigenvector, were used to analyze the perceptions of disabled sports from Netminer 4.0 for semantic network analysis. The conclusion of overall results from this study are follows; First, the core keyword of disabled sports in newspapers are 'impression', 'challenge', 'festival', 'dream' and hope. And there is different concepts of cognition among types of disability. Second, there are two elements on the perceptions of disabled sports from reported newspapers; sports performance and emotional. Specifically, main stream of keyword were 'Paralympics' and 'Special Olympics' on sports performance element and 'impressive' and 'challenge' in emotion element.