• Journal of Digital Convergence
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• v.19 no.3
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• pp.177-185
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• 2021

This paper aimed to grasp what the percentage in the types of news stories on the online broadcast is, which was conducted by analyzing the news stories of 9 broadcasting websites on the Naver newsstand. For the analysis, a total of 270 days' samples were selected, including 30 days per broadcast on 9 broadcasting websites. For a method of analysis, One-way ANOVA was used to examine the difference among broadcasting websites. The analysis was made centering with priorities given to the type of news stories by the composition of language, the type of genre as a standard of stories, and so on. As a result of analysis, all the programs in the off-line broadcast have been produced and transmitted as a video-typed story, but a half of those in on-line broadcast have been made up of the stories composed of photo and text. The online newspaper has been producing a new type of news' story using video-typed story or computer graphic while the online broadcast has actively been utilizing stories composed of photos and text, which are types of newspaper's stories. From above-mentioned results, it can be understood that the boundary among media is getting more and more indistinct on the environment of online media, showing the phenomenon that the type of broadcast's stories is becoming old-fashioned.

• Asian Journal for Public Opinion Research
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• v.8 no.1
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• pp.22-40
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• 2020

With social media booming, newspapers are facing an enormous challenge, and some have even had to exit the market. Likewise, their role as a main force of public opinion guidance in China has also been challenged. They have lost their vantage ground. The present study conducted a case study on one well-known Chinese online public opinion event. Through analyzing the newspapers' role played in different public opinion development stages, this study displayed how Chinese newspapers worked together and successfully guided online public opinion in that case. The newspapers' advantages in guiding public opinion and suggestions as to how newspapers can survive and guide public opinion in the new media era are put forward in the final section.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.197-221
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• 2020

We collected national newspaper articles on the largest Chinese investment project in Malaysia, Forest City, and examined media sentiment polarity using alternative automated sentiment analysis tools. We further checked the robustness of these results using content analysis, and consistently found that sentiment polarity for mainstream news is more volatile than independent online journalism. We also found that the sentiment polarity of Malaysian mainstream media towards Chinese investments is aligned with government interactions between the two countries. This suggests that the sentiment of Malaysian mainstream media towards Chinese investments complies with local government attitudes, while independent online media are less constrained by government control. In light of this, foreign investors looking to more effectively estimate risks should monitor both independent and mainstream media to calculate the sentiment of the host country towards their foreign direct investment projects.

• Journal of Information Management
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• v.26 no.1
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• pp.80-98
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• 1995

Search strategies is a means to make an efficient search. Among several studies of search strategy, Bates' $\ulcorner$Search Tactics$\lrcorner$ has been often cited and introduced, but their studies have been superficial. In this paper, the contents of Bates' $\ulcorner$Search Tactics$\lrcorner$ are examined in detail, and we try to represent the actual online search process based upon Bates' $\ulcorner$Search Tactics$\lrcorner$. The following three kinds of survey are made in order to clarify which and how tactics are used: (1) Interview with 7 searchers who belong to different types of organizations, and use different kinds of databases (2) Analysis of some online search records. (3) Analysis of written applications for a newspaper database during one year. In conclusion, Bates' tactics falls into categories and new several tactics which often used are added. The following five factors affect online search activities, search strategy, and search tactics. (1) the difficulty of search requests (2) the kinds of databases (3) the charging policy for each online search (4) the presence of the user during the search (5) the searcher' online experience In the limited condition, typical tactics are suggested, but in order to generalize the pattern of using tactics, further investigation is necessary.

• The Journal of Industrial Distribution & Business
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• v.11 no.4
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• pp.47-56
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• 2020

Purpose: This study aims to explore how consumers respond to the immoral actions of a CEO. More specifically, this research focuses on the moral reasoning processes used by consumers in order to maintain support for the CEO despite the immoral action. In addition, this research suggests that support for the CEO would improve product purchase intention. Research design, data, and methodology: To test the hypotheses presented, an online research company was hired and online survey was conducted with adult participants. Online research company sent an email to the potential subjects asking their participation in an online survey. Subjects were able to participate in the online survey by clicking a link to the survey. When the participants clicked the link, they were instructed to read a fictitious newspaper article on a CEO's immoral action. And then, they were asked to answer several questions online. Responses were obtained from 336 adults participants and data were analyzed using SPSS Hayes Macro for a moderation effect and AMOS for a structural equation model. Result: Moral reasoning processes were divided into moral decoupling and moral rationalization and analyzed to determine their influence on product purchase. Also in this study, we suggest the public self-consciousness of consumers as an antecedent of moral reasoning processes, and argue that consumers with high public self-consciousness are more likely to engage in moral decoupling than moral rationalization. Conclusions: Our results showed that moral decoupling and moral rationalization improved the consumer's perception of corporate ethicality, which increased product purchase intention. In addition, consumers with high public self-consciousness were more likely to engage in moral decoupling than in moral rationalization. In addition, this research suggested that severity of the scandal would moderate the impact of public self-consciousness on moral decoupling. However, this hypothesis was not supported statistically since most participants perceived the scandal to be a highly severe incident, that may lead to an insignificant interaction effect between severity of the scandal and public self-consciousness. This research expands the scope of available research on corporate ethics and consumer responses to negative information involving celebrities and provides practical implications for corporate crisis management.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.2
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• pp.107-127
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• 2015

This study aims to develop the education program of the presidential archives based on the NIE for social studies. Especially, this study provided an opportunity to develop information processing capacity through newspapers reflecting rapidly changing social environment for users of presidential archives. With the process, it provides an opportunity for users to develop information literacy, which has become a necessity in information society. Through the education program students may have various experiences, wider perspective and diversity with self-directed learning. To perform the goal, this study proposed an education program using presidential archives based on NIE and an applied case.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.1071-1074
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• 2009

In a pre-existing online newspaper has inconvenience such that a difference of a newspaper from other newspapers is confirmed on another script window. To solve this inconvenience, we propose a system called Rose News Reader. Since our proposed system classifies the articles with respect to the publishers and domain, a user can compare the articles from diverse publisher and analyze them to obtain correct facts.

• Journal of Fashion Business
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• v.27 no.1
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• pp.1-15
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• 2023

This study divided articles into two time periods, from 2012 to 2022, with the aim of using big data analysis to look at patterns in the ecosystem of fashion start-ups. The research method extracted top keywords based on TF(Term Frequency) and TF-IDF(Term Frequency-Inverse Document Frequency), analyzed the network, and derived centrality values. As a result of comparing the first and second fashion startup ecosystems, elements of policy, support, market, finance, and human capital were derived in the first period. In addition, in the second period, elements of policy, support, market, finance, and culture were derived. In the first period, the fashion startup ecosystem focused on fostering new designer startups by emphasizing support, finance, and human capital factors and focusing on policies. Meanwhile, in the second period, online-based fashion platform startups and fashion tech startups appeared with the support of digital transformation and fulfillment services triggered by COVID-19(Corona Virus Disease 19), private finances were emphasized, and cultural factors were derived along with success stories of fashion startups. This study is meaningful in that it helps in developing strategies for fashion startups to grow into sustainable companies.

• 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 Korean Association of Computer Education
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• v.15 no.2
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• pp.37-45
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• 2012

The case of South Korea's Internet newspapers, harmful advertising is illegal but rampant. The children and youth are not protected, so effective measures are urgently required. Therefore, to achieve self-regulation, a discrimination system model using collective intelligence and collective emotions is proposed. This study is to suggest a Discrimination System Model of harmful contents using collective intelligence and collective emotions as the actual program of self-regulation. The Discrimination System model forms the level of harmful contents by using contents, form, text, size as well as the implied and reminiscent story of image as discriminant factors of a group testing. The formed level is established for harmful contents discriminant criteria after going through the process of generalization again. It can be not clear and ambiguous for internet newspaper banner ads to be measure the level of harmfulness. This Discrimination System will have the strengths of resolving this problem.