• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.04a
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• pp.266-271
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• 2008

Recently, concern about urban residence community will increase from the 1990s in Korea, and the activity is active. In this research, by holding the workshop by participation with inhabitants spontaneous for Seowoon-dong of Cheongju City which is a place of urban residence, a workshop tool which is different in that process is tried, and that validity is evaluated. As a result of there being three, 'The tool of inhabitants opinion expression using figure card', 'PIC tool', and a 'The tool of inhabitants opinion expression using a drawing', as a workshop tool and examining the validity, validity of two, 'The tool of inhabitants opinion expression using figure card' and 'PIC tool', is high. Moreover, if some are complemented also with 'The tool using a drawing', it can use with it. Finally, in a future inhabitants workshop, residents' agreement formation is important and the system maintenance hurries.

• Journal of the Korean Home Economics Association
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• v.31 no.4
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• pp.183-191
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• 1993

This study was investigated the personal rating reason for preference, and opinion for improvement on the Korean traditional foods. Questionnaire were answered by male and female university students at 8 universities in Seoul and the results are summarized as follows. 1) General trend of subjects showed preference for traditional food in order of nutrition, appearance, taste, economics, and cooking method. While the value of food itself such as nutrition, appearance, taste was rated high, practical side such as economics, and cooking method was not so agreed. Especially female students set as lower value on cooking method. 2) As a reason for rating it low, male and female students answered without distinction that traditional food are laborious and much time is needed for cooking. 3) For the idea of improving traditional food, all students had same opinion that standardized cooking method should be developed for convenient use at home, and secondly, special salestore of traditional food should be promoted. Particularly more male students had the opinion that traditional cooking method should be succeeded to at home than female students. Summarizing some significant findings from the analysis of data, all students prefer traditional food itself relatiovely. But generally they rate it low because traditional food is difficult to cook and there are not so many chances of eating. Therefore, it is regarded that standardized cooking method and promoted special salestore for more chance of eating will activated the interest of young generation, and hence contribute to succession of tradition.

• International Journal of Costume and Fashion
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• v.14 no.1
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• pp.1-15
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• 2014

Fashion leadership is divided into visual influence, linguistic influence, and dual leadership. We refer to people exercising such influential power as fashion innovators, fashion opinion leaders, and fashion double leaders, respectively. Scholars and marketers have raised continuous questions on this issue: who are these fashion leaders and what characteristics do they have? In this study, social network analysis is applied to grasp the existence of three types of fashion leaders in college clubs, examine their positions in fashion process networks and investigate their individual and social characteristics. For this study, three college clubs were recruited through convenience sampling and surveyed online. Peer nomination questions for structuring fashion process networks and self-evaluation questions for measuring personal characteristics are included. Two fashion networks, an opinion leadership network and an innovativeness network, embrace four to six leaders and illustrate similar structure patterns in the three groups, which indicates that dual leaders enjoyed the lion's share in college clubs. The number of fashion innovators tends to be fewer compared to that of fashion opinion leaders, and we infer that peer relationship appears to intervene with fashion opinion leadership. Other personal characteristics supporting results from previous studies are also confirmed in this study.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.52-58
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• 2021

Questionnaires and surveys are increasingly being used to collect information from participants of empirical software engineering studies. Usually, such data is analyzed using statistical methods to show an overall picture of participants' agreement or disagreement. In general, the whole survey population is considered as one group with some methods to extract varieties. Sometimes, there are different opinions in the same group, but they are not well discovered. In some cases of the analysis, the population may be divided into subgroups according to some data. The opinions of different segments of the population may be the same. Even though the existing approach can capture the general trends, there is a risk that the opinions of different sub-groups are lost. The problem becomes more complex in longitudinal studies where minority opinions might fade over time. Longitudinal survey data may include several interesting patterns that can be extracted using a clustering process. It can discover new information and give attention to different opinions. We suggest using a data mining approach to finding the diversity among the different groups in longitudinal studies. Our study shows that diversity can be revealed and tracked over time using the clustering approach, and the minorities have an opportunity to be heard.

• Asian Journal for Public Opinion Research
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• v.8 no.4
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• pp.432-452
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• 2020

This study explored the representation of risks from the controversial Lynas rare earth refining as a risk event by five Malaysian online mainstream and alternative newspapers using qualitative content analysis. The aim is to uncover the role of the news media in the social amplification and attenuation of risks within the literature evidence as those roles are still uncertain. Content analysis is used to explore the online newspapers' roles guided by the Social Amplification of Risk Framework (SARF). The representations typified environmental, financial, health, occupational, property, radioactive, and technological risks and established connections between four risk types (environmental, financial, radioactive, and health risks). Radioactive risk was repeatedly associated with other risks, suggesting that the volume and information flow focused on radioactive risk as a key ingredient for amplification. This connection shows that the nature of the relationship between risks is multidimensional, contradicting the unidirectional type found in previous studies. Alternative online newspapers amplified and attenuated more risks, thus, providing more diverse coverage than mainstream sources. Consequently, this study provides evidence that risk representation from rare earth refining in a digital news environment is multidimensional and intensified or weakened in a multi-layered pattern. The stakeholders are engaged in a contestation by positioning their narratives to oppose or support their interests, which are amplified or attenuated by the online newspapers as social amplification stations.

• Journal of Information Processing Systems
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• v.19 no.1
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• pp.55-66
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• 2023

Community portraits can deeply explore the characteristics of community structures and describe the personalized knowledge needs of community users, which is of great practical significance for improving community recommendation services, as well as the accuracy of resource push. The current community portraits generally have the problems of weak perception of interest characteristics and low degree of integration of topic information. To resolve this problem, the reader community portrait method based on the thematic and timeliness characteristics of interest labels (UIT) is proposed. First, community opinion leaders are identified based on multi-feature calculations, and then the topic features of their texts are identified based on the LDA topic model. On this basis, a semantic mapping including "reader community-opinion leader-text content" was established. Second, the readers' interest similarity of the labels was dynamically updated, and two kinds of tag parameters were integrated, namely, the intensity of interest labels and the stability of interest labels. Finally, the similarity distance between the opinion leader and the topic of interest was calculated to obtain the dynamic interest set of the opinion leaders. Experimental analysis was conducted on real data from the Douban reading community. The experimental results show that the UIT has the highest average F value (0.551) compared to the state-of-the-art approaches, which indicates that the UIT has better performance in the smooth time dimension.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.838-855
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• 2019

Online product reviews are a vital source for companies in that they contain consumers' opinions of products. The earlier methods of opinion mining, which involve drawing semantic information from text, have been mostly applied in one dimension. This is not sufficient in itself to elicit reviewers' comprehensive views on products. In this paper, we propose a novel approach in opinion mining by projecting online consumers' reviews in a multidimensional framework to improve review interpretation of products. First of all, we set up a new framework consisting of six dimensions based on a marketing management theory. To calculate the distances of review sentences and each dimension, we embed words in reviews utilizing Google's pre-trained word2vector model. We classified each sentence of the reviews into the respective dimensions of our new framework. After the classification, we measured the sentiment degrees for each sentence. The results were plotted using a radar graph in which the axes are the dimensions of the framework. We tested the strategy on Amazon product reviews of the iPhone and Galaxy smartphone series with a total of around 21,000 sentences. The results showed that the radar graphs visually reflected several issues associated with the products. The proposed method is not for specific product categories. It can be generally applied for opinion mining on reviews of any product category.

• Journal of the Korean Society of Clothing and Textiles
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• v.10 no.1
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• pp.59-67
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• 1986

The purpose of this study was to identify the characteristics of fashion leaders in relation to attitude toward change and socioeconomic level among Dae Gu woman as well as among rural women living on the suburbs of Dae Gu: and to compare the characteristics of these urban women in a mass society with the rural women living in a traditional society. Measures selected for this study consisted of the Schrank Fashion Opinion Leadership Inventory(1973), the Schrank ana Sugawara Attitudes Toward Change Inventory(1977), and socioeconomic level. The fashion Innovation Inventory was developed by author which consisted of a list of clothing and accessory items selected after surveys to local stores, campus, and main streets, and study of fashion magazines for the current seasons. The data from 280 respondents were analyzed by Pearson corrleation coefficients, analysis of variance, and t-test. The results were as followers : 1) A significant relationship was found between fashion leadership and socioeconomic level for both urban and rural women. High attitude toward change was significantly related to high fashion innovativeness and high fashion opinion leadership among the urban groups. re significant relationship was found between fashion opinion leadership and attitude toward change among the rural sample. 2) A significant difference was found in attitude toward change scores of four urban sub-sample groups : fashion innovators, fashion opinion leaders, fashion innovative communicators(who exhibit high scores on both fashion innovativeness and fashion opinion leader-ship), and non-fashion innovative communicators. No significant difference was found in attitude toward change scores of four rural sub-sample groups. No significant differences were found in socioeconomic level of four sub-sample groups for both urban and rural women.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.343-352
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• 2020

Purpose: This study identifies the impact on composition of the firefighting organization, fire command ability, and public opinion operation on organizational citizenship behavior for fire officials to respond to the earthquake disaster, and provides practical implications as basic data for firefighting organizations to cope with the earthquake disaster. Method: Questionnaire survey was performed for 159 fire officials, and the surveyed data was statistically analyzed by using SPSS 22.0 program. Result: First, the results of the verification of the hypothesis showed that the composition of the fire organization, firefield command ability and public opinion operation have a positive impact on organizational citizenship behavior. Second, the relative contribution of independent variables to the dependent variables was identified in the order of composition of fire organization, fire command ability and public opinion operation. Conclusion: The implications of this study suggested from a practical perspective that the government needs to organize firefighting organizations, develop firefield command ability and operate public opinion in advance in order to respond to earthquakes.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.329-340
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• 2015

In the age of media convergence, this study intended to empirically examine the influences of entertainment programs on the formation of public opinion in Twitter using the case of the Healing Camp, an entertainment program of SBS, featured Cheol Soo Ahn, who was a presidential candidate. Through a content analysis this study was able to directly test how public opinion was developed in Twitter and also examine the dynamics in which the messages of traditional media influence the formation of public opinion in twitter by combining Twitter and actual contents of the TV program. The study is expected to contribute to expanding a scope of scholarly attention of social media.