• Asian Journal for Public Opinion Research
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• v.1 no.2
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• pp.103-127
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• 2014

This study reviews existing research on the measurement of and the relationship between political diversity and political participation. It addresses the inconsistency in the arguments of existing studies researching the influence of political diversity on political participation. It attempts to find the cause in the variety of approaches to conceptualize and operationalize the two variables. As the measure of political diversity, political network heterogeneity and network attributes are discussed in detail in specific relation to political participation. As for political participation, an in-depth analysis of various ways to understand different forms of political involvement is presented. Implications for public opinion research are discussed.

• 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.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.201-210
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• 2024

In empirical software engineering research, there is an increased use of questionnaires and surveys to collect information from practitioners. Typically, such data is then analyzed based on overall, descriptive statistics. Overall, they consider the whole survey population as a single group with some sampling techniques to extract varieties. In some cases, the population is also partitioned into sub-groups based on some background information. However, this does not reveal opinion diversity properly as similar opinions can exist in different segments of the population, whereas people within the same group might have different opinions. Even though 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 case of longitudinal studies where minority opinions might fade or resolute over time. Survey based longitudinal data may have some potential patterns which can be extracted through a clustering process. It may reveal new information and attract attention to alternative perspectives. We suggest using a data mining approach to finding the diversity among the different groups in longitudinal studies (agile skeptics). In our study, we show that diversity can be revealed and tracked over time with the use of clustering approach, and the minorities have an opportunity to be heard.

• International Journal of Contents
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• v.17 no.4
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• pp.52-61
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• 2021

The 2020 US Presidential Election was a highly-anticipated moment for our global society. During the election period, the most intriguing issue was who would be the winner-Trump or Biden? Among the possible main themes of the 2020 election, from the COVID-19 pandemic to racism, this study focused on feminism ('women') as a main component of Biden's victory. To explore the character of Biden's supporters, this paper focused on internet spaces as a source of public opinion. To guide the data analysis, this study employed four indices from empirical studies on Big Data analytics: issue salience, attention diversity, emotional mentioning, and semantic cohesion. The main finding of this study was that the representative keyword 'women' appeared more prevalently within content related to Biden than Trump, and the keyword pairs indicated that female voters were the main reason for Trump's failure but the root cause of Biden's victory. The results of this study indicated the role of the internet as a forum for public opinion and a fountain of political knowledge, which requires more rigorous investigation by researchers.

• Asian Journal for Public Opinion Research
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• v.10 no.3
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• pp.178-199
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• 2022

Two surveys for exploring communicative paths toward political participation were conducted with relatively large samples of Americans (N = 1001) and South Koreans (N = 1166). Hierarchical regression modeling of the relationships among demographics, personal networks, news consumption, and cross-cutting discussion and political participation demonstrated mostly commonalities between the two samples, including the interaction between political diversity and Twitter usage for news access but with distinct effect sizes of cross-cutting discussion on political participation. We attribute the differences to the two countries' distinct histories of democracy and culture, and the commonalities to the general relationships between cross-cutting discussion and political participation moderated by strong ties political homogeneity.

• Animal Systematics, Evolution and Diversity
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• v.36 no.4
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• pp.416-419
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• 2020

Two cold water species of dendronotid nudibranchs are described for the first time in Korea: Dendronotus frondosus (Ascanius, 1774) and Dendronotus robilliardi Korshunova, Sanamyan, Zimina, Fletcher & Martynov, 2016. Dendronotus frondosus is characterized by the color pattern of deep dark-brown with white specks and mottles on the dorsum. Dendronotus robilliardi is distinguished by the body of translucent white with milky stripes and orange-brown markings in papillae, and D. robilliardi from Korean water is commonly examined with white dots on the anterior dorsum. Images of external morphology and brief re-descriptions of two species were provided. Further, we confirmed the opinion of Korshunova et al. that the Korean D. albus image by Koh would be D. robilliardi.

• Asian Journal for Public Opinion Research
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• v.3 no.2
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• pp.84-105
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• 2016

The instability of social norms on the Internet causes the diversity of social identification. Meanwhile, the anonymity of online social identity and the chaos of the role-playing among the interacting participants cause an ambiguity of identity recognition, which intensifies anxiety about interpersonal interaction. Methods that promote face-to-face interpersonal interaction through the reconstruction of the identification to the social system and intergroup trust is worth further research. Based on a telephone survey of urban residents in thirty-six cities in China (N=1080), the study focuses on the influence of Internet use on interpersonal interaction of urban residents and the mediation effect of social identification. The results show that Internet use has a negative effect on the interpersonal interactions of urban residents, and social identification plays a mediating effect between Internet use and interpersonal interaction. Implications of the results are discussed.

• Asian Journal for Public Opinion Research
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• v.7 no.3
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• pp.143-168
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• 2019

With much attention being paid to the rapid growth of wrist-worn smart devices, this study aimed to examine the micro-processes that determine an individual's adoption of smart bands and smartwatches. Primarily relying on the theoretical background of the extended technology acceptance model (TAM II), this study explored relationships between three groups of predictors-social, personal, and device-oriented-and the three main components of the original TAM: perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI). Results from the path analysis indicated multiple factors played significant roles in increasing the PU, PEOU, and BI of wristworn smart devices: subjective norms, social image, self-efficacy, perceived service diversity, and perceived reasonable cost. The main findings from this research contribute to significantly improving the understanding of the main factors leading people to adopt wrist-worn smart devices.

• Korean Journal of Environmental Biology
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• v.32 no.4
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• pp.395-396
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• 2014

The present note provides an overview of the three succeeding scientific papers, which gives an insight about the multidisciplinary studies and opinion on Biodiversity. These three papers are based on the seminar series of biodiversity organized by the department of life science, Hanyang University during 2011~2013.

• Korean journal of communication and information
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• v.51
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• pp.117-135
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• 2010

The regulation of media concentration which is provided in the German Interstate Treaty on Broadcasting (RStV) is part of the rules forming the "positive broadcasting order" required by German Constitutional Law. This control ensures that the diversity of viewpoints can be articulated to the public. Broadcasting must operate independently from the state and from particular social groups if it is to be a genuine service to the public. One risk of economic competition in the media is a tendency towards the concentration of business enterprises. Moreover, economic competition is no guarantee for journalistic diversity. The aim of balanced diversity in the broadcasting sector can only be pursued by creating conditions under which different voices obtain the chance to be heard in an equitable manner. Within the framework of the meaning of section 26, it shall be assumed that there is a predominant impact on public opinion if the programs attributable to one company reach an annual audience share of 30 percent. The same shall apply if the company reaches an audience share of 25 percent and holds a dominant position in a related media-market or an overall assessment of its activities in television. The restriction of audience shares has limits such as that the audience shares of news programs and education and entertainment programs are pooled. Therefore, there is a vagueness about the productivity of different program branches.