• 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.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.488-498
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• 2011

This study is an analysis of how national newspapers and local newspapers frame news contents over selecting of the site of International science-business belt. The results of analysis are as follows. First, in national newspapers, 'incompetent government frame' to criticize inconsistent policies and 'relapse prevention frame' were most commonly found. Second, newspapers in the region chosen as the site of an International Science-business belt and newspapers in the region not chosen showed a severe contrast in news frames. Most of news frames in the region chosen as the site of an International science-business belt were 'development frame' and 'performance frame'. On the other hand, newspapers in the region not chosen produced 'incompetent government frame' and 'protest frame' more than others. Finally, local newspapers in the area not related with the site of an International Science-business belt did not even deal with such an articles. These results show that to win large-scale national projects such as PIMFI facilities, local governments have been too much competitive and connected to a conflict.

• Korean journal of communication and information
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• v.39
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• pp.385-427
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• 2007

This study examined the primary tones of news stories and the overall frames which are structuralized by the primary tones in the news reporting of the Private School Law and social conflicts occurring around the law. For this purpose, the study applied Lakoff and Johnson's metaphoric conceptualization to the analysis of the news stories reported in the Chosun Ilbo, the Hankyoreh, and the Kookmin Ilbo, which are considered to represent the audience of the conservative, progressive, and religious forces, respectively. The main goal of this study includes to describe in which manner the newspapers attempt to depict the frames of major social conflicts regarding the Private School Law. The results show that (1) the Chosun Ilbo and the Kookmin Ilbo attempt to structuralize the social conflicts by providing frames of 'freedom is an asset' and a 'war' metaphors; (2) the Kookmin Ilbo applied more frames of a religious metaphor among others; and (3) the Hankyoreh attempts to structuralize the social conflicts by offering frames of 'the front is good, but the rear is bad' and 'war' metaphors, which proves to be the opposite in presenting the overall framing.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.3 s.309
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• pp.17-24
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• 2006

In this paper, an algorithm for anchor frame detection in news video is proposed, which consists of four steps. In the first step, the cumulative histogram method is used to detect shot boundaries in order to segment a news video into video shots. In the second step, skin color information is used to detect face regions in each shot boundary. In the third step, color information of upper body regions is used to extract anchor object, which produces candidate anchor frames. Then, from the candidate anchor frames, a graph-theoretic cluster analysis algorithm is utilized to classify the news video into anchor-person frames and non-anchor frames. Experiment results have shown the effectiveness of the proposed algorithm.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.530-539
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• 2002

Recently, there have been a lot of researches to develop an archive system for news videos that usually has a fixed structure. However, since the meta-data representation and storing schemes for news video are different from each other in the previously proposed archive systems, it was very hard to exchange these meta-data. This paper proposes a scheme for news video based on MPEG-7 MDS that is an international standard to represent the contents of multimedia, and a summarization mechanism reflecting the characteristics of shots in the news videos. The proposed scheme for news video uses the MPEG-7 MDS schemes such as VideoSegment and TextAnnotation to keep the original structure of news video, and the proposed summarization mechanism uses a slide-show style presentation of key frames with associated audio to reduce the data size of the summary video.

• Korean journal of communication and information
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• v.27
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• pp.283-316
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• 2004

This study examines different news frames of local newspapers reporting the controversial 'Nu[lear Waste Site' issues which deeply split regions showing their intention to bid for the state affair. Three local papers were analyzed for this study, "Gwang-Ju-Il-bo" "Mae-il-sin-mun" and "Jun-buk-il-bo." Overall, the three local papers displayed widely divergent main news frames on the same issue. Firstly, "Gwang-Ju-Il-bo", and "Mae-il-sln-mun" showed the strong tendency of using 'counter frame' while "Jun-buk-il-bo" exhibited 'loral development frame'. Secondly, "Gwang-Ju-Il-bo", and "Mae-il-sin-mun" were frequently headlined 'Nuclear Waste Site', while "Jun-buk-il-bo" carried headlines 'Radioactive Waste Management Facility' overwhelmingly more often than the other two papers, indicating that headline key words are closely associated with the configuration of news frames. Thirdly, the main news frames remained consistent for "Gwang-Ju-Il-bo", and "Mae-il-sin-mun" even after the government's report about the possible connection of 'ion-beam irradiation-accelator' and 'Nuclear Waste Site.' On the other hand, "Jun-buk-il-bo" was significantly less headlined 'Nuclear Waste Site' while significantly more headlined "Radioactice Waste Management Facility." "Jun-Buk-il-bo" which is in stark contrast to the other two papers changed in its tone by increasing the 'local development frame' with decrease in the 'counter frame.' The "Jun-buk-il-bo"'s more frequent use of 'Radioactive Waste Management Facility' as a headline than "Nuclear Waste Management Equipment" is seen as its attempt to minimize negative image of Nuclear Waste and to promote favorable public opinion by highlighting aspects of economic benefits and the local development the construction would brind about. The major findings of this study further support the claim that media overage ends up a reality. The fact that Buan in Jun-buk Province made a successful bid for the construction is not a coincidence.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1410-1417
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• 1999

In this paper, we propose the method of extracting the caption regions from news video and the method of recognizing the captions that can be used mainly for content-based indexing and retrieving the MPEG-2 compressed news for NOD(News On Demand). The proposed method can reduce the searching time on detecting caption frames with minimum MPEG-2 decoding, and effectively eliminate the noise in caption regions by deliberately devised preprocessing. Because the kind of fonts that are used for captions is not various in the news video, an enhanced template matching method is used for recognizing characters. We could obtain good recognition result in the experiment of sports news video by the proposed methods.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.129-153
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• 2023

This study was conducted in the context of the Covid-19 pandemic by analyzing a large amount of press report frames regarding the Covid-19 vaccine which is of great public interest, in order to explore the role and direction of trusted media as core elements of crisis communication. The study period lasted for eight months beginning in November 2020 when the development of the Covid-19 vaccine was in progress until June 2021. Set-up as research subjects were the Chosun Ilbo, Joongang Ilbo, Dong-A Ilbo and Hankyoreh according to their public confidence rankings and number of readers.The analysis method used structured topic Modeling (STM) and semantic network analysis. As a result, based on a clear cluster of word structures and a central analysis value, a total of 64 relevant frames, 16 for each news company, were gathered. In the third phase a comparative analysis of the four news companies was carried out to verify the organizational degree of the frames and substantial differences.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.112-122
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• 2020

This study analyzed how KBS's 'Type and Format', 'Professionalism' and 'Infectious Disease-related Issues' appear in the media news related to Corona-19 under the three periods of 'discovery', 'diffusion' and 'recovery'. According to an analysis of a total of 473 media news, In all three periods, 'Straight Report' and 'Information Delivery Frame' were high to inform the truth of the infectious disease. In addition, the 'transmission of facts' frame was more used than the emotional transmission in reporting the risk situation. However, the proportion of 'moral evaluation frames' in the second phase was relatively high, and the proportion of non-professional journalists was still overwhelmingly higher than professional journalists. Meanwhile, infectious disease-related issues had the most content on 'infection control', and relatively little information on how to deal with them. Based on the above findings, this study suggested the implications of 'Increased in-depth and professional press coverage', 'Refrain from moral evaluation frames' and 'a comprehensive presentation of various infectious disease-related information'.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.109-135
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• 2021

his study classified the development process of artificial intelligence (AI) speakers through analysis of the news text of artificial intelligence (AI) speakers shown in traditional news reports, and identified the characteristics of each product by period. The theoretical background used in the analysis are news frames and topic frames. As analysis methods, topic modeling and semantic network analysis using the LDA method were used. The research method was a content analysis method. From 2014 to 2019, 2710 news related to AI speakers were first collected, and secondly, topic frames were analyzed using Nodexl algorithm. The result of this study is that, first, the trend of topic frames by AI speaker provider type was different according to the characteristics of the four operators (communication service provider, online platform, OS provider, and IT device manufacturer). Specifically, online platform operators (Google, Naver, Amazon, Kakao) appeared as a frame that uses AI speakers as'search or input devices'. On the other hand, telecommunications operators (SKT, KT) showed prominent frames for IPTV, which is the parent company's flagship business, and 'auxiliary device' of the telecommunication business. Furthermore, the frame of "personalization of products and voice service" was remarkable for OS operators (MS, Apple), and the frame for IT device manufacturers (Samsung) was "Internet of Things (IoT) Integrated Intelligence System". The econd, result id that the trend of the topic frame by AI speaker development period (by year) showed a tendency to develop around AI technology in the first phase (2014-2016), and in the second phase (2017-2018), the social relationship between AI technology and users It was related to interaction, and in the third phase (2019), there was a trend of shifting from AI technology-centered to user-centered. As a result of QAP analysis, it was found that news frames by business operator and development period in AI speaker development are socially constituted by determinants of media discourse. The implication of this study was that the evolution of AI speakers was found by the characteristics of the parent company and the process of co-evolution due to interactions between users by business operator and development period. The implications of this study are that the results of this study are important indicators for predicting the future prospects of AI speakers and presenting directions accordingly.