• Analyses & Alternatives
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• v.6 no.1
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• pp.163-194
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• 2022

A transboundary environmental problem refers to an environmental problem that goes beyond a country's territory and damages neighboring countries. It is a difficult problem because, basically, it is a natural, rather than intentional, effect, and it is extremely hard to make a scientific consensus on the cause-effect relations between upstream and downstream nations. Air pollution, especially PM 2.5 and PM 10, is one of the typical cases of transboundary environmental problems in the Northeast Asia. This paper analyzes the constraints of environmental cooperation between China and South Korea to address transboundary air pollution issue. It argues that lack of trust and ideological hostility, rather than, scientific uncertainty, is the biggest obstacle for effective cooperation, and these hostile discourses and ideas are mostly generated by media in the downstream nation, the South Korea. In order to identify how South Korean media frames this issue, this paper searched newspaper articles in the six representative South Korean newspapers during the period of 2014 and 2020, and analyzed about 2,000 articles selected. It finds that South Korean media has framed the transboundary air pollution as a China bashing and related domestic political cleavage issue, while it neglects to show the cooperation attempts that the two countries have made to date. Also, while the media focuses on China hate frame, it has never reported the Chinese government's domestic policies to reduce air pollution and their results. Media's overuse of hate and blame frames not only has disrupted trust building but also it will delay a possible turning point of environmental cooperation between the two countries in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.209-214
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• 2023

Interest in Edutech increased rapidly during the pandemic. In a situation where face-to-face classes are impossible, Edutech has become an important issue for schools and the public. Therefore, this study reviewed newspaper articles in Edutech of major daily newspapers nationwide, analyzed the main contents, characteristics, and issues of discourse on this, and explored tasks. Edutech discourse initially emphasized most of its usefulness as an educational tool, but new issues emerged during the pandemic. Beyond the use of new technology, how to induce and sustain learners' will become an issue and remain a task. In addition, as a public education, securing fairness in school records and evaluations and protecting the personal information of related people became sensitive issues. In applying Edutech, the problem of preferential treatment for any technology company has also become controversial. This issue is an area other than technology, but it remains a task in the edutech problem.

• Journal of Fashion Business
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• v.27 no.1
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• pp.61-76
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• 2023

The purpose of this study was to derive exotic products handled by Bon Marche department store, examine characteristics, and reveal the meaning of exotic taste in the 19th century. The research method is literature research centered on original materials of the time, such as old literature related to department stores, and films, newspapers, magazines, and periodicals as well as books and papers. Commercial catalogs and Agenda-Buvard published by Bon Marché were used as visual materials. Results are as follows. Exotic tastes of products of the Bon Marche department store in the late 19th century showed an oriental style centered on Persia, India, China, and Japan. Products from various regions such as Turkey, Spain, Algeria, Tunisia, England, Italy, and Russia were also accepted. These exotic tastes had the following contributions and meanings. First, they expanded items and product development and activated domestic industry through production of imitations and replicas. Second, before the advent of department stores, foreign items that came to Europe were exclusive properties of a few privileged classes. However, in the late 19th century, as the number of consumers who wanted to have a new status higher than themselves increased, exotic products of the Bon Marche department store became the object of desire for material pursuits toward the upper class rather than sentimental fantasies. Third, exotic tastes gradually spread to the public as production of products imitating foreign products became possible industrially with an easy access to them. From this, it can be seen that department stores were mediators of trends and the epicenter of popularizing exotic tastes.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.625-645
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• 2023

This study examined newspaper articles from 2012 to the first quarter of 2021 to explore how interest in and response to veganism have evolved in the fashion and beauty industries over the past decade. By analyzing keywords and word correlations, we discovered a steady increase in veganism-related articles in both English- and Korean-language newspapers published in Korea, especially since 2019. Since 2012, consumer interest in vegan fashion materials has grown, with fashion and beauty emerging in 2018 as significant vegan-related keywords. As a result, brands have adopted vegan certification systems and introduced vegan product lines, and new vegan brands have emerged. Since 2020, companies have been promoting environmental, social, and governance (ESG) management practices and working toward eco-management that reflects vegan trends in all areas, such as cruelty-free product/packaging materials, brands, policies, and services. It is also notable that fashion/beauty consumers have been more actively starting to adopt eco-friendly lifestyles and participate in vegan-related movements since that time. Our findings offer important insights into the evolution of veganism in Korea and can help researchers and industry practitioners to develop future business strategies in the vegan fashion and beauty industries.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.1-13
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• 2022

This study aims to examine the trend and characteristics of newspaper articles concerned with fine particle matter. Newspaper articles since 1995 collected from Bigkinds were analyzed using text mining techniques, sentiment analysis and regression analysis. Air pollution measurement and domestic pollutants appeared frequently previously, but "China" became the keyword in the 2010s along with political action, the effects on the health, AD/PR, and domestic pollutants. Korea JoongAng Daily, Hankyoreh and Kyunghyang Shinmun have had more focused on political regulations whereas most regional daily newspapers on emission sources and reduction measures at the regional level. The results of this study are expected to be used as a reference for understanding the trend of newspaper articles. Future work includes further analysis and discussion of fine particle pollution condition and news reports in the post-COVID era.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.168-168
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• 2020

This study is to evaluate the drought-related bigdata characteristics published from South Korean by developing crawler. The 5 years (2013 ~ 2017) drought-related posted articles were collected from Korean internet search engine 'NAVER' which contains 13 main and 81 local daily newspapers. During the 5 years period, total 40,219 news articles including 'drought' word were found using crawler. To filter the homonyms liken drought to soccer goal drought in sports, money drought economics, and policy drought in politics often used in South Korea, the quality control was processed and 47.8 % articles were filtered. After, the 20,999 (52.2 %) drought news articles of this study were classified into four categories of water deficit (WD), water security and support (WSS), economic damage and impact (EDI), and environmental and sanitation impact (ESI) with 27, 15, 13, and 18 drought-related keywords in each category. The WD, WSS, EDI, and ESI occupied 41.4 %, 34.5 %, 14.8 %, and 9.3 % respectively. The drought articles were mostly posted in June 2015 and June 2017 with 22.7 % (15,097) and 15.9 % (10,619) respectively. The drought news articles were spatiotemporally compared with SPI (Standardized Precipitation Index) and RDI (Reservoir Drought Index) were calculated. They were classified into administration boundaries of 8 main cities and 9 provinces in South Korea because the drought response works based on local government unit. The space-time clustering between news articles (WD, WSS, EDI, and ESI) and indices (SPI and RDI) were tried how much they have correlation each other. The spatiotemporal clusters detection was applied using SaTScan software (Kulldorff, 2015). The retrospective and prospective cluster analyses were conducted for past and present time to understand how much they are intensive in clusters. The news articles of WD, WSS and EDI had strong clusters in provinces, and ESI in cities.

• Journal of the Korean Society of Food Culture
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• v.24 no.6
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• pp.762-769
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• 2009

In this investigation, 480 high school students attending school in Seoul, Incheon were surveyed for their knowledge of seaweed and their preference of seaweed products provided during school meal service. Female students answered that they preferred seaweed more than male students. When asked to explain their preference for seaweed, most students who preferred seaweed responded 'it is tasty' (82.9%), while those that did not like seaweed responded 'I don't like the texture when chewing it and it is not tasty' (47.8%). Most students reported that they usually eat 'laver', and the number of times that they at seaweed was '3-4 times a week'. The primary place in which they ate seaweed and the place where they feel it had the best taste was a 'house'. The primary source of information regarding seaweed was mass media including TV, newspapers, magazines and the internet (48.8%). With regard to seaweed in school meals, which is offered twice a week, most students reported, 'I eat seaweed and leave it to some extent.' They perceived 'laver' to be most often provided in school meals, and 57.7% reported that their favorite seaweed meal was 'laver'. When asked why they dislike seaweed in school meals, the most common responses were 'I didn't like seaweed the first time I tried it' (27%) and 'Its taste is different from what I eat at home' (24.6%). The most common request regarding seaweed provided in school lunches was for the taste to be improved (48.2%). Evaluation of the preference for seaweed menus in school meals revealed that both males and females had higher preferences of more than 4 points for 'fried laver' and 'broiled laver'.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.579-585
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• 2023

The purpose of this study is to explore keywords within stalking-related news articles according to political orientation through the text network analysis, and then to examine the implicit intentions. Selecting total 1,607 articles including 824 articles of the conservative press(The Chosun Ilbo, The Joongang Ilbo) and 783 articles of the progressive press(The Hankyoreh, The Kyunghyang Shinmun) reported from January 1, 2018 to December 31, 2022, this study explored the aspect of topic category drawn through the topic modeling technique based on LDA(Latent Dirichlet Allocation). In the results of this study, the common topics of the conservative and progressive press were improvement of the perception of gender-based violence, personal protection & intensity of punishment, and disclosure of stalkers' personal information. Regarding the topics differently shown in those two press, the conservative press showed stalkers' harmful act, and outline of 'murder case at Sindang Station' while the progressive press showed request for aggravated punishment on the 'murder case at Sindang Station', and eradication of sexual exploitation crime (in cyber space). The results of this study imply that there are changes in the type of reporting according to ideological opinions about stalking in news articles.

• Korean Journal of Legislative Studies
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• v.27 no.3
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• pp.155-188
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• 2021

This study examines dynamics in election news making. It is important to understand when and how news media produce election news in order to grasp news making and voting behavior. The news media sometimes make election news by focusing on issues and policies. Often they frame elections as a game and focus on election strategies while covering elections. This article argues that as time goes by during the election period, the number of policy news tends to decrease while the frequency of strategic news is likely to increase. Also, TV's and newspapers show distinctive patterns of election news making. In order to examine the arguments, this study categorizes election news stories into policy and strategic news stories produced during the 2020 Korean congressional elections and constructs daily time-series data of them. The results of structural break and regression analyses partially support the arguments.

• 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.