• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.13-22
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• 2024

There is a need for and positive aspects of article-based advertising, but as exaggerated and disguised information is delivered due to some indiscriminate 'article-based advertisements', readers have difficulty distinguishing between general articles and article-based advertisements, leading to a lot of misinterpretation and confusion of information. is doing Since readers will continue to acquire new information and apply this information at the right time and place to bring a lot of value, it is judged to be even more important to distinguish between accurate general articles and article-like advertisements. Therefore, as differentiated information between general articles and article-like advertisements is needed, as part of this, for readers who have difficulty identifying accurate information due to such indiscriminate article-like advertisements in Internet newspapers, this paper introduces IT and AI technologies. We attempted to present a method that can be solved in terms of a system that incorporates, and this method was designed to extract articleable advertisements using a knowledge-based natural language processing method that finds and refines advertising keywords and deep learning technology.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.806-816
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• 2021

This study aims to describe the reporting patterns of articles on the Emergency Grant for all citizens(EGAC) and compare the reporting attitudes by newspaper companies. The main results are as follows: First, conservative newspapers reported more than four times as much coverage of EGAC as liberal newspapers. Newspaper articles reported during the week of the National Assembly Election Day accounted for about a quarter of the total, and 79.1% of the articles were reported in the political realm of newspapers, and only 2.8% in the social realm. Second, a conservative newspaper reported a critical attitude toward EGAC at 52.6% and favorable articles at 5.3%. On the other hand, in a liberal newspaper, critical articles were 17.1% and favorable articles were 37.1%. The inefficiency of selectivism was reported as the basis for the argument in favor, and concerns about the burden of deterioration in the financial soundness of the opponents were reported the most. Politicians are the most cited sources of information in articles. Finally, in prior to policymaking, the proportion of the media in favor of and against the news was similar, and the proportion of articles with a neutral attitude accounted for more than half. And in the specific method discussion stage, the articles in favor of the article exceeded the proportion of articles on the opposite side.

• Korean Journal of Social Welfare
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• v.63 no.4
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• pp.203-224
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• 2011

This study explored the tendencies of public perception and countermeasures on an aging society by the content analysis of Korea's four major daily newspapers since 2000. Results showed distinguishing growth of the public interest on an aging society. Articles were categorized into five domains - demographic structure, family and individual domain, health domain, economic and financial domain, and social domain. Economic and financial aspects occupied the highest frequency in the total number of articles. The analysis of public perception revealed both negative and positive perspectives on an aging society. In addition, the analysis of the newspaper articles identified particular phenomenon of Korean aging society as distinct rapid aging population, declining fertility rates caused by higher educational expenses, national security problems. Consequently, when we prepare for the alternatives of the aging society, we should pay attention to more various aspects of society based on the understanding of practical problems and needs. Furthermore, researches and discussions focusing on a particular phenomenon of Korea would be required.

• Journal of Information Technology Application
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• v.3 no.1
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• pp.1-21
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• 2001

The explosive growth of the Internet and the increasing popularity of the World Wide Web have generated significant interest in the development of electronic commerce in a global online marketplace. The rapid adoption of the Internet as a commercial medium is rapidly expanding the necessity of Web advertisement as a new communication channel. if proper Web advertisement could be suggested to the right user, then effectiveness of Web advertisement will be raised and it will help company to earn more profit. So, this article describes a personalized advertisement technique as a part of intelligent customer services for an electronic newspaper provide. Based on customers history of navigation on the electronic newspapers pages, which are divided into several sections such as politics, economics, sports, culture, and so on, appropriate advertisements (especially, banner ads) are chosen and displayed with the aid of machine learning techniques, when customers visit to the site. To verify feasibility of the technique, an application will be made to one of the most popular e-newspaper publishing company in Korea.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.299-312
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• 2019

This study examined the effect of media and personal frames on readers' attitude towards newspaper articles and on their perceived fairness. Study 1 examined the frame effects with the issue of the Candlelit Protest in 2008 and Study 2 did with the issue of the Four Major Rivers Restoration Project. Results indicated that in both studies two frames had main effects on readers' attitude and yet their interaction was not significant. In both studies, effects of personal frame were partially significant on the perceived fairness of the article, but main effects of media frame and interaction effects between two frames were not significant. These findings demonstrated that readers' attitude towards newspaper articles and on their perceived fairness would be influenced by their headlines and their source along with their content.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.309-320
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• 2019

This study was to explore the meaning and implications of nurses' representations in newspapers from the perspective of convergence. Four different Korean newspaper articles from Aug. 2003 to Sep. 2013 were analyzed by using a descriptive exploratory qualitative study, thematic analysis. Five themes were derived from the data analysis. In the newspaper, in general, professional nurses were described as patient-centered nursing provider with sense of calling for nursing. Also their positive portrayals as health professionals have noticeably emerged. Yet in contrast, nurses' negative portrayals as neglectful, lazy, and discriminating against the poor have been reported. The study findings indicate significantly enhanced nursing professionalism and nursing as a future-promising occupation. The results can be used to develop strategies to improve nursing public image in the media. For further exploratory study on the subscriber's image of nurses after reading the articles is needed.

• Journal of Distribution Science
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• v.17 no.10
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• pp.83-91
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• 2019

Purpose - Media is a significant distributional channel in sport. In terms of determining the influencer in building sport media contents, recent sport media studies have employed agenda-setting theory, assuming media itself as the agenda provider. In a real-world situation, however, sports stars have been deemed key factor determining distribution contents in sport. The starting point of this study is the "tacit premise" of agenda-setting theory. Given the agenda-setting theory, the current study attempted to explore the function of sport stars as an agenda provider, which is a key determinant of sport distribution. Research design, data, and methodology - This study has reviewed articles of Yuna Kim, Sang-hwa Lee, and Hyun-jin Ryu from daily newspapers including as dong-a ilbo and joongang ilbo (2013 to 2017). The study collected data, portable document format (PDF), from the online archive of dong-a ilbo and joongang ilbo. We coded the length of the article, the frequency, the size of the picture, and the structural form of the article. Inter-coder reliability was compared with data previously investigated by the researcher. Inter-coder reliabilities for study 1 and 2 was .89 and .85. To examine hypotheses, descriptive analysis, correlations, and cross-tap analysis were performed. Results - The results partially supported the hypotheses proposing the significant role of sports stars as the agenda setters in distributing sport media contents. In specific, the study found that the number of articles about sports stars prevailed the number of articles about regular athletes. Besides, studies found that the use of photos was more frequent in articles of sports starts than that of regular athletes. In sports newspaper articles, featured story articles were used more than straight-articles for news relating to sports stars. Also, sports newspaper of sports stars contained more information associated within an event rather than outside of an event. Conclusions - In sports journalism, this study challenges the current theory that the media affects the composition and the content of sports coverages. As the principle of the agenda-setting of sports media, the influence of sports stars must be continuously studied along with a follow-up study.

• Journal of the Korean Society for information Management
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• v.18 no.2
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• pp.203-230
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• 2001

The purpose of this study is to develop a document clustering model for automatic classification of knowledge. Two test collections of newspaper article texts and journal article abstracts are built for the clustering experiment. Various feature reduction criteria as well as term weighting methods are applied to the term sets of the test collections, and cosine and Jaccard coefficients are used as similarity measures. The performances of complete linkage and K-means clustering algorithms are compared using different feature selection methods and various term weights. It was found that complete linkage clustering outperforms K-means algorithm and feature reduction up to almost 10% of the total feature sets does not lower the performance of document clustering to any significant extent.

• Journal of English Language & Literature
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• v.58 no.6
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• pp.1063-1083
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• 2012

Florence Nightingale is best remembered today as the Lady with the Lamp, but modern research on the English nurse primarily addresses her popular iconography as a historical misrepresentation of her character and career. This scholarly reluctance to analyze critically Nightingalean iconography, however, has obscured important cultural work performed by the popular tropes. This article argues that the proliferation of Nightingale's iconic image as a symbol of Christian womanhood in transatlantic periodical poetry, when examined separately from biographical considerations, reveals important insights into the complex relationship between form and affect in mid-nineteenth periodicals. Popular representations of Nightingale give form to the disorienting effects produced on newspaper readers by the nascent field of international journalism and reflect a key generic paradox at the heart of the Victorian periodical: the simultaneous aim to report news objectively and to move readers affectively in response to events beyond national contexts and interests. Focusing on Lewis Carroll's "The Path of Roses" and Henry Wadsworth Longfellow's "Santa Filomena," this article contends that Nightingalean periodical poetry mirrors back to readers their own affective response to modern media and functions as a new technology for managing an increasingly acute awareness of events and ethical responsibilities beyond the nation.

• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.154-156
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• 2012

영한 기계번역 시스템의 개발을 위해서는 여러 가지 사전이 필요하고, 다앙한 모호성 해소를 위한 연구를 위한 데이터가 필요하며, 번역 시스템의 테스트를 위해 많은 영어 문장이 필요하다. 따라서 영어 말뭉치를 구축하여 이로부터 사전에 필요한 정보, 모호성 해소 연구에 필요한 데이터, 번역 테스트를 위한 문장 등을 추출할 필요가 있다. 본 논문에서는 영어 말뭉치를 구축하기 위해 인터넷 영어 신문 사이트로부터 영어로 작성된 신문기사를 추출하는 도구를 개발하였다. 이를 통해 자동적으로 영어 신문기사를 추출하여 말뭉치를 구축할 수 있으며, 이를 통해 영한 기계번역 시스템의 성능 향상을 지원할 수 있다.