• Journal of the Korean Society of School Health
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• v.16 no.1
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• pp.149-160
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• 2003

The purpose of this study was to analyze the effects after having the obesity education with obese elementary school children. The subjects were made up of 31 obese children out of U elementary school in B town as experimental group, and also were selected 34 children out of S elementary school under the same circumstance as control group. They ranged from the third to sixth grades with over 30% body fat ratio. The proceeding of obesity education consisted of three stage; stage for preparation, stage for practice, and stage for finish. The stages mentioned above were put into practice in turn for eleven weeks beginning on Oct. 8, 2001 through Dec. 22, 2001, while two stages only, stage for preparation and finish, were put into practice on the control group. The contents of the education for eleven weeks obesity regulation contained counseling and taking regular exercises once a week by professional gym teacher. In order to evaluate the effects of the education, physical characteristics, body composition, physical fitness, knowledge of obesity, dietry habit and attitude were measured. The obtained data were analyzed using SPSS program, the effects of pre and post obesity education in experimintal group were measured by paired-t test. The conclusions of this study were as follows : 1. Body fat ratio was significantly reduced after obesity education in experimintal group(p=.003). 2. The height with experimental group got taller remarkably(p=.000), but weight showed no signeficance after obesity education(p=.258). 3. Triceps and subscapular skinfold thickness showed remarkable decrese after obesity education(p=.000), percentage body fat and body fat amount got down remarkably after obesity education(p=.000). Percentage lean body mass and lean body mass amount got down remarkably after obesity education(p=.000). 4. Body flexibility, agility and muscle endurance graded up remarkably after obesity education(p=.009, p=.000, p=.000). 5. The grade in obesity knowledge got up remarkably after obesity education(p.000), but dietry habits and its life showed no significance in figures after obesity education(p=.335, p=.112). Through the results shown above, the obesity education caused body fat ratio, physique, body composition to grade up and physical fitness elevated, while dietry habits and its life showed no significance.

• Strategy21
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• s.41
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• pp.232-260
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• 2017

The purpose of this paper is to open a debate about what kind of deterrent strategy the ROK military should pursue in the era of NK's weapons of mass destruction and missile threats. I argue that the ROK military needs a comprehensive deterrent strategy that reflects the international security situations and trends and that builds on clear understanding of the basic concepts and how deterrence operates. The paper starts with surveying the basic knowledge of deterrence from the perspectives of both theory and practice. Then, it provides explanations on why deterrence against NK can be particularly difficult given the security environment in and around the Korean peninsula. For example, South Korea and North Korea hardly share 'common knowledge' that serves as a basic element for the operation of deterrence. Deterrence against North Korea involves complex situations in that both deterrence and compellence strategies may be relevant particularly to North Korea's WMD and missile threats. It also involves both immediate and general deterrence. Based on the discussion, I suggest several ideas that may serve as guidelines for establishing a deterrent strategy against NK. First, our threats for deterrence should be the ones that can be realized, particularly in terms of the international norms. In other words, they must be considered appropriate among other nations in the international community. Second, there should be separate plans for the different kinds of threats: one is conventional, local provocations and the other is WMD/missile related provocations. Third, we should pursue much closer cooperative relations with the U.S. military to enhance the effectiveness of immediate deterrence in the Korean peninsula. Fourth, the ROK military should aim to accomplish 'smart deterrence' maximizing the benefits of technological superiority. Fifth, the ROK military readiness and structure should be able to deny emerging North Korean military threats such as the submarine-launched ballistic missiles and intercontinental ballistic missiles. Lastly, in executing threats, we should consider that the current action influences credibility and reputation of the ROK, which in turn affect the decisions for future provocations. North Korea's WMD/missile threats may soon become critical strategic-level threats to South Korea. In retrospect, the first debate on building a missile defense system in South Korea dates back to the 1980s. Mostly the debate has centered on whether or not South Korea's system should be integrated into the U.S. missile defense system. In the meantime, North Korea has become a small nuclear power that can threaten the United States with the ballistic missiles capability. If North Korea completes the SLBM program and loads the missiles on a submarine with improved underwater operation capability, then, South Korea may have to face the reality of power politics demonstrated by Thucydides through the Athenians: "The strong do what they have the power to do, the weak accept what they have to accept."

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.292-317
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• 2015

As modern science and technology and warfare become to be advanced and precise, the weapon systems becomes more complex based on state-of-the-art technology. Therefore, firms in the defense industry continue to accelerate research and development for up-to-date weapon systems with high complexity which urge the firms to collaborate with the external organizations to obtain the knowledge required and eventually to reduce costs and risk. This study tries an empirical study about the effect of collaboration on the innovation performances from the network analysis perspective. By surveying collaboration relationships among 530 firms in the Korean defense industry, we analyzed the alliance network of the defense industry. Network centrality including degree, closeness, and betweenness centralities is investigated and then the relationship among the network centrality property, internal R&D capabilities and innovation is analysed. The results show that firms with high internal R&D capabilities place the firm at center of the network. On the other hand, except for the firms with highly connected centrality, no relationship was found between the internal R&D capabilities and its performance and in turn. these capabilities had both direct and indirect effects on innovation performances through mediated collaboration among firms. This study implied that Korean firms with a high internal R&D capabilities in the defense industry which utilize knowledge, information and resources within the network more frequently show more innovative performance. This result claims the policy makers to participate more firms in fostering open innovation for the defense industry.

• Hwankyungkyoyuk
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• v.23 no.4
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• pp.1-14
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• 2010

The purpose of this study is to find the meaning of the good class, and based on this, situation of environmental education in high school is researched. Through those above processes, desirable direction of the environment class is suggested. For this study, we are trying to reflect the characteristics of environmental education on the general good classes, and from this, the meaning of good environment class is known. Moreover, for this study, we choose environment classes from four high schools leading by environment major teacher. From those four classes, we analyzed these things: educational situation of environment class, teachers' interviews. All of these are for analyzing environment class with the view of good environmental class. A well-formed environment class manifests the features of environment education in all aspects of teaching and learning process, including learning objectives, learning materials, procedures, and evaluations. Furthermore, it should be 'student-centered' class in which active interaction among the learners or between the instructor and the students is considered most important. Students are not the passive receiver, but rather, they actively participate in the learning process by reorganizing the knowledge as they experience and become independent learners who are actively involved in the problem-solving process. In this way, we can generate a great deal of students' interest and motivation, which in turn makes the class interesting, enjoyable, full of energy and still effective. If there is the class reflecting the factors of environmental education above good class' ways, it will be the good environment class. In the current situation of environment class, the rate of student's class participation and study activity was low. This tendency is not too different between four groups except students' support to teachers. This result means that learners' will to participate in their classes actively is not high. Moreover, about 46.3% of students did not understand some parts of new knowledge and about the parts, students' solution was 'does nothing' and the rate was also so high. Teachers tried to make their class with considering students' interest, and focusing their learner's real life. However, learners are all general education high school students, so teachers have aversion about making their students heavy activities.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.374-381
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• 2022

The article identifies and theoretically substantiates the trends of national resilience in the context of establishing the security of the country and its civilizational subjectivity. The strategy of development of the pedagogical university in the conditions of European integration into the European educational and scientific space based on certain characterological features of the personality of the volunteer in the context of allocation of personal resilience is developed. The analysis of both external and internal challenges and threats to the civilization of the country needs to be understood in the context of economic, socio-political, legal, military-political, spiritual-cultural, educational-scientific and network-information resilience. The concepts of "national resilience" and "national security" are quite close - at first glance, even identical. However, a deeper understanding clarifies the differences: national security is a state of protection of the country identity and its very existence, the realization of its national interests. In turn, resilience is a fairly effective strategy and a fundamental guarantee of national security. At the same time, it is extremely important to understand that both national security as a state and national resilience as a strategy are only means of achieving and developing a strong and humanistic civilizational subjectivity of the country. After all, such subjectivity opens for citizens the opportunity for development, dignified self-realization and a proper life. The restructuring of the volunteer's motivational sphere is due to the dominance of such leading motives, which are focused mainly on maintaining and restoring health, which leads to distorted meaningful life goals: isolation, alienation, passivity, inertia, reduced activity, limited communication, etc. The characteristics of relatively stable human behavior include several primary and secondary properties. The primary (relevant) properties include patience, trust, hope, faith, confidence, determination, perseverance, and love; the secondary - punctuality, neatness, obedience, honesty, loyalty, justice, diligence, thrift, accuracy, conscientiousness, obligation, etc. The restructuring of the volunteer's motivational sphere is due to the dominance of such leading motives, which are focused mainly on maintaining and restoring health, which leads to distorted meaningful life goals: isolation, alienation, passivity, inertia, reduced activity, limited communication, etc. The characteristics of relatively stable human behavior include several primary and secondary properties. The primary (relevant) properties include patience, trust, hope, faith, confidence, determination, perseverance, and love; the secondary - punctuality, neatness, obedience, honesty, loyalty, justice, diligence, thrift, accuracy, conscientiousness, obligation, etc. The use of information and communication technologies in volunteering will contribute to the formation of resilience traits in the structure of personality formation. Directly to the personal traits of resilience should be included methodological competencies, which include methodological knowledge, skills and abilities (ability to define ultimate and intermediate goals, plan, conduct and analyze knowledge, establish and implement interdisciplinary links with disciplines of medical-psychological-pedagogical cycles, etc.). All these competencies form the professional resilience of the volunteer.

• Journal of Science and Technology Studies
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• v.16 no.2
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• pp.99-147
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• 2016

This paper critically reviews the previous discussion over public engagement with science and technology by Science and Technology Studies literatures with a focus on justification and acceptance. Recent studies pointed out that the "participatory turn" after the late 1990s was followed by confusion and disagreement over the meaning and agency of public engagement. Their discussion over the reproduction of the ever-present boundary between science and society along with so-called late modernity and post-normal science and sometimes through the very processes of public engagement draws fresh attention to the old problem: how can lay participation in decision-making be justified, even if we agree that privileging the position of experts in governance of science and technology is no longer justified? So far STS have focused on two conditions for participatory turn-1) uncertainties inherent in experts' ways of knowing and 2) practicability of lay knowledge. This paper first explicated why such discussion has not been logically sufficient nor successful in promoting a wide and well-thought-out acceptance of public engagement. Then the paper made a preliminary attempt to explain what new types of expertise can support the construction and sustainment of participatory governance in science and technology by focusing on one case of lay participation. The particular case discussed by the paper revolves around the actions of a civil organization and an activist who led legal and regulatory changes in wind power development in Jeju Special Self-governing Province. The paper analyzed the types of expertise constructed to be effective and legitimate during the constitution of participatory energy governance and the local society's support for it. The arguments of this paper can be summarized as follows. First, an appropriate basis of the normative claim that science and technology governance should make participatory turn cannot be drawn from the essential characteristics of lay publics-as little as of experts. Second, the type of 'expertise' which can justify participatory governance can only be constructed a posteriori as a result of the practices to re-construct the boundaries between factual statements and value judgment. Third, an intermediary expertise, which this paper defines as a type of expertise in forming human-nonhuman associations and their new pathways for circulations, made significant contribution in laying out the legal and regulatory foundation for revenue sharing in Jeju wind power development. Fourth, experts' conventional ways of knowing need to be supplemented, not supplanted, by lay expertise. Ultimately, the paper calls for the necessity to extend STS discussion over governance toward following the actors. What needs more thorough analysis is such actors' narratives and practices to re-construct the boundaries between the past and present, facts and values, science and society. STS needs a renewed focus on the actual sites of conflicts and decision-making in discussing participatory governance.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.1-42
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• 2009

In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

• Journal of Korean Academy of Nursing
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• v.22 no.4
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• pp.506-525
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• 1992

Older people, because of the psychological and physiological changes related to the aging process are more vulnerable to experiencing powerlessness than any other age group. This self destructive cycle of depression in older people related to the experience of continued and long term powerlessness can lead even to death. The purpose of this study was to measure powerlessness and resources to increase power in older people, and to measure the effectiveness of a psychological rehabilitation program for reducing powerlessness. The research methodology used was a two step process. In the first step, a survey was done of perceived powerlessness and power resources comparing four groups of elderly people ; those living at home, those in hospital, those living in nursing homes and those attending educational programs for the elderly. The total sample size was 236. In the second step, a psychological rehabilitation program was carried out, pre and post measurements were taken related to this program. The sample consisted of 29 residents in a nursing home. The results of the study are as follows : 1. Powerlessness was classified as cognitive, emotional, activity and learning. The lowest score for powerlessness was in the area of activity, that is the people in the sample felt more power concerning their activities. The highest score was in the area of cognition where they felt they had less power. 2. When the different groups of elderly were compared, it was found that the residents of the nursing home had the highest score on perceived powerlessness and the group who were living at home had the lowest score. 3. Among the general characteristics, the factors influencing the powerlessness score were age, sex, level of education, financial resources and health status. In the interaction effects among these factors, it was found that level of education and health status were factors influencing perceived powerlessness. The elderly with lower education and poorer health status had the higher scores for perceived powerlessness. 4. The power resources could be classified into the following areas : physical strength, emotional strength, positive self-image, energy, knowledge, motivation and belief system. Belief system was given the highest score among the power resources and energy, knowledge and motivation were given low scores. 5. The group participating in an educational program for the elderly had the highest score for power resources while the group made up of residents of a nursing home had the lowest score as well as the highest score for perceived powerlessness. 6. The factors influencing the power resource scores were sex, level of education, financial resources and health status. In the analysis of the interaction effect among the factors, it was found that sex, level of education and financial resources were the factors that influenced the power resource score, that is, women, those with a low level of education and those with poor financial resources reported a lower level of power resources. 7. There was a negative correlation between perceived powerlessness and power resources in the elderly in this study. Since power resources explainded 49% of the variance for powerlessness, it can be concluded that the power resources can be used to reduce powerlessness. 8. The psychological rehabilitation program was carried out with the nursing home residents over a period of five weeks. No statistically significant difference was found in the scores on powerlessness between the pre and post tests, but there was a slight decrease in the raw scores on the post test for emotional, activity and learning powerlessness. There was a statistically significant increase in the power resource scores for emotional strength, positive self-image, energy, knowledge and motivation in the post test as compared to the pre test. In conclusion, the study indicates that a psychological rehabilitation program for the elderly could be effective in increasing power resources and this in turn could lead to a decrease in perceived powerlessness.

• Asia pacific journal of information systems
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• v.17 no.4
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• pp.31-59
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• 2007

We frequently use search engines to find relevant information in the Web but still end up with too much information. In order to solve this problem of information overload, ranking algorithms have been applied to various domains. As more information will be available in the future, effectively and efficiently ranking search results will become more critical. In this paper, we propose a ranking algorithm for the Semantic Web resources, specifically RDF resources. Traditionally, the importance of a particular Web page is estimated based on the number of key words found in the page, which is subject to manipulation. In contrast, link analysis methods such as Google's PageRank capitalize on the information which is inherent in the link structure of the Web graph. PageRank considers a certain page highly important if it is referred to by many other pages. The degree of the importance also increases if the importance of the referring pages is high. Kleinberg's algorithm is another link-structure based ranking algorithm for Web pages. Unlike PageRank, Kleinberg's algorithm utilizes two kinds of scores: the authority score and the hub score. If a page has a high authority score, it is an authority on a given topic and many pages refer to it. A page with a high hub score links to many authoritative pages. As mentioned above, the link-structure based ranking method has been playing an essential role in World Wide Web(WWW), and nowadays, many people recognize the effectiveness and efficiency of it. On the other hand, as Resource Description Framework(RDF) data model forms the foundation of the Semantic Web, any information in the Semantic Web can be expressed with RDF graph, making the ranking algorithm for RDF knowledge bases greatly important. The RDF graph consists of nodes and directional links similar to the Web graph. As a result, the link-structure based ranking method seems to be highly applicable to ranking the Semantic Web resources. However, the information space of the Semantic Web is more complex than that of WWW. For instance, WWW can be considered as one huge class, i.e., a collection of Web pages, which has only a recursive property, i.e., a 'refers to' property corresponding to the hyperlinks. However, the Semantic Web encompasses various kinds of classes and properties, and consequently, ranking methods used in WWW should be modified to reflect the complexity of the information space in the Semantic Web. Previous research addressed the ranking problem of query results retrieved from RDF knowledge bases. Mukherjea and Bamba modified Kleinberg's algorithm in order to apply their algorithm to rank the Semantic Web resources. They defined the objectivity score and the subjectivity score of a resource, which correspond to the authority score and the hub score of Kleinberg's, respectively. They concentrated on the diversity of properties and introduced property weights to control the influence of a resource on another resource depending on the characteristic of the property linking the two resources. A node with a high objectivity score becomes the object of many RDF triples, and a node with a high subjectivity score becomes the subject of many RDF triples. They developed several kinds of Semantic Web systems in order to validate their technique and showed some experimental results verifying the applicability of their method to the Semantic Web. Despite their efforts, however, there remained some limitations which they reported in their paper. First, their algorithm is useful only when a Semantic Web system represents most of the knowledge pertaining to a certain domain. In other words, the ratio of links to nodes should be high, or overall resources should be described in detail, to a certain degree for their algorithm to properly work. Second, a Tightly-Knit Community(TKC) effect, the phenomenon that pages which are less important but yet densely connected have higher scores than the ones that are more important but sparsely connected, remains as problematic. Third, a resource may have a high score, not because it is actually important, but simply because it is very common and as a consequence it has many links pointing to it. In this paper, we examine such ranking problems from a novel perspective and propose a new algorithm which can solve the problems under the previous studies. Our proposed method is based on a class-oriented approach. In contrast to the predicate-oriented approach entertained by the previous research, a user, under our approach, determines the weights of a property by comparing its relative significance to the other properties when evaluating the importance of resources in a specific class. This approach stems from the idea that most queries are supposed to find resources belonging to the same class in the Semantic Web, which consists of many heterogeneous classes in RDF Schema. This approach closely reflects the way that people, in the real world, evaluate something, and will turn out to be superior to the predicate-oriented approach for the Semantic Web. Our proposed algorithm can resolve the TKC(Tightly Knit Community) effect, and further can shed lights on other limitations posed by the previous research. In addition, we propose two ways to incorporate data-type properties which have not been employed even in the case when they have some significance on the resource importance. We designed an experiment to show the effectiveness of our proposed algorithm and the validity of ranking results, which was not tried ever in previous research. We also conducted a comprehensive mathematical analysis, which was overlooked in previous research. The mathematical analysis enabled us to simplify the calculation procedure. Finally, we summarize our experimental results and discuss further research issues.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.191-210
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• 2014

As mobile devices that can be connected to the Internet have spread and networking has become possible whenever/wherever, the Internet has become central in the dissemination and consumption of news. Accordingly, the ways news is gathered, disseminated, and consumed have changed greatly. In the traditional news media such as magazines and newspapers, expert editors determined what events were worthy of deploying their staffs or freelancers to cover and what stories from newswires or other sources would be printed. Furthermore, they determined how these stories would be displayed in their publications in terms of page placement, space allocation, type sizes, photographs, and other graphic elements. In turn, readers-news consumers-judged the importance of news not only by its subject and content, but also through subsidiary information such as its location and how it was displayed. Their judgments reflected their acceptance of an assumption that these expert editors had the knowledge and ability not only to serve as gatekeepers in determining what news was valuable and important but also how to rank its value and importance. As such, news assembled, dispensed, and consumed in this manner can be said to be expert-based recommended news. However, in the era of Internet news, the role of expert editors as gatekeepers has been greatly diminished. Many Internet news sites offer a huge volume of news on diverse topics from many media companies, thereby eliminating in many cases the gatekeeper role of expert editors. One result has been to turn news users from passive receptacles into activists who search for news that reflects their interests or tastes. To solve the problem of an overload of information and enhance the efficiency of news users' searches, Internet news sites have introduced numerous recommendation techniques. Recommendations based on popularity constitute one of the most frequently used of these techniques. This popularity-based approach shows a list of those news items that have been read and shared by many people, based on users' behavior such as clicks, evaluations, and sharing. "most-viewed list," "most-replied list," and "real-time issue" found on news sites belong to this system. Given that collective intelligence serves as the premise of these popularity-based recommendations, popularity-based news recommendations would be considered highly important because stories that have been read and shared by many people are presumably more likely to be better than those preferred by only a few people. However, these recommendations may reflect a popularity bias because stories judged likely to be more popular have been placed where they will be most noticeable. As a result, such stories are more likely to be continuously exposed and included in popularity-based recommended news lists. Popular news stories cannot be said to be necessarily those that are most important to readers. Given that many people use popularity-based recommended news and that the popularity-based recommendation approach greatly affects patterns of news use, a review of whether popularity-based news recommendations actually reflect important news can be said to be an indispensable procedure. Therefore, in this study, popularity-based news recommendations of an Internet news portal was compared with top placements of news in printed newspapers, and news users' judgments of which stories were personally and socially important were analyzed. The study was conducted in two stages. In the first stage, content analyses were used to compare the content of the popularity-based news recommendations of an Internet news site with those of the expert-based news recommendations of printed newspapers. Five days of news stories were collected. "most-viewed list" of the Naver portal site were used as the popularity-based recommendations; the expert-based recommendations were represented by the top pieces of news from five major daily newspapers-the Chosun Ilbo, the JoongAng Ilbo, the Dong-A Daily News, the Hankyoreh Shinmun, and the Kyunghyang Shinmun. In the second stage, along with the news stories collected in the first stage, some Internet news stories and some news stories from printed newspapers that the Internet and the newspapers did not have in common were randomly extracted and used in online questionnaire surveys that asked the importance of these selected news stories. According to our analysis, only 10.81% of the popularity-based news recommendations were similar in content with the expert-based news judgments. Therefore, the content of popularity-based news recommendations appears to be quite different from the content of expert-based recommendations. The differences in importance between these two groups of news stories were analyzed, and the results indicated that whereas the two groups did not differ significantly in their recommendations of stories of personal importance, the expert-based recommendations ranked higher in social importance. This study has importance for theory in its examination of popularity-based news recommendations from the two theoretical viewpoints of collective intelligence and popularity bias and by its use of both qualitative (content analysis) and quantitative methods (questionnaires). It also sheds light on the differences in the role of media channels that fulfill an agenda-setting function and Internet news sites that treat news from the viewpoint of markets.