• Informatization Policy
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• v.27 no.1
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• pp.92-114
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• 2020

The purpose of this study is to analyze people's motivations to use the National Petition service of CheongWaDae, the Presidential Office of Korea. The online space has been used as a testbed of deliberative democracy. In fact, a wide variety of public opinions are being formed and gaining sympathy through the E-Petitions and Daum's Agora. In this regard, President Moon's government launched a petition site to gather public opinions. For any petition agreed on by more than 20,000 people within 30 days, the relevant ministry or the President's office must provide answers or feedback. This study wants to figure out how this National Petition is different from previous platforms like Agora or E-Petitions and why it is so well-received by people. This study uses a mix of both qualitative and quantitative methods. First, we conducted a focus group interview to factorize experiences of using the National Petition into measurable constructs. Second, we did a survey o 156 Koreans who had experienced the National Petition. Results show that symbolism, usefulness, gratification, and trust have positive impact on continuous usage intention. This study argues that symbolism, usefulness, gratification, and trust factors should be in place rather than technical aspects in order to increase the actual participation of users on the online platform of deliberative democracy. In addition, this study is meaningful in that it examined how different the CheongWaDae's National Petition is from the existing platforms for collecting public opinions and analyzed factors that encourage continuous use.

• Informatization Policy
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• v.23 no.2
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• pp.54-72
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• 2016

This article analyzes the latest cases of Digital Social Innovation such as crowdsourcing and online petitions for public trouble-shooting in oder to demonstrate that public engagement of the citizens on decision making can enhance the quality of democracy. Digital Social Innovation contributes to citizen's participation on decision making and policy implementation with taking advantage of digital technologies of crowdsourcing and online petitions. Active civic engagement for decision making literally helps to improve and democratize government policy. These series of processes not only improve quality and efficiency of policy governance by building up transparency and effectiveness of policy itself but also enhance the throughput legitimacy. With this article, I quote and analyze various practices of Digital Social Innovation which we had substantiated to demonstrate the effectiveness of civic engagement for decision making to improve and enhance democracy. The hypothesis that the Digital Social Innovation attempted in various ways is a principal factor of democratization could be verified. Moreover, the practices of Digital Social Innovation helps the civic participation in policy making in modern society. Finally, this article suggests an implication of Digital Social Innovation as part of efforts to ensure the involvement of throughput legitimacy for the development of democracy.

• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.633-640
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• 2021

Education related issues are social problems in which various groups and situations are intricately linked to each other. It is difficult to find issues by analyzing social phenomena related to education. Korean based text analysis can be analyzed in a quantitative. With the development of text analysis techniques, research results have been recently achieved, and it can be fully utilized to derive educational issues from text data in Korean. In this study, petition articles in the field of childcare/education were collected on the online-board of the Blue House National Petition website, and text analysis was used to derive issues in the education world. The analysis derived 6 topics through Latent Dirichlet Allocation(LDA) among topic modeling techniques. The association rules of major keywords were analyzed and visualized as graphs. In addition to deriving educational issues through the existing questionnaire, it can provide implications for future research directions and policies in that issues can be sufficiently discovered through text-based analysis methods.

• Informatization Policy
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• v.22 no.3
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• pp.61-93
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• 2015

This article assesses and examines democratic potentials of the Internet for U.S. citizens' political participation. The empirical analysis on the data from Pew Research Center's questionnaire survey focuses on four different political activities in both online and offline modes: casual political talk, contact with a government official, petition, and political contribution. The study answers two research inquiries: 1) How does the Internet influence the established patterns of political participation?; and 2) How does the Internet influence the demographic distribution of participatory inequality? Firstly, the Internet, by providing existing participants with additional tools for participation, reinforces conventional participation, rather than mobilizing new participation in politics. Secondly, the online patterns of the participation divide with respect to demographic characteristics imitate the traditional patterns of inequality and disproportionate representativeness in political participation. The Internet is still not a predominant medium for political activities. Citizens' utilization of its transformative and mobilizing potentials remains limited.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.795-806
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• 2021

Recently, as text data through online channels have become vast, there is a growing interest in research that summarizes and analyzes them. One of the fundamental analyses of text data is to extract potential topics. Although the researcher may read all the data and summarize the contents one by one, it is not easy to deal with large amounts of data. Blei and Lafferty (2007) and Blei et al. (2003) proposed topic modeling methods for extracting topics using a statistical model. Since the text data is generally collected over time, it is worthwhile to monitor the topic's changes. In this study, we propose a topic index based on the results of the topic model. In addition, a control chart, a representative tool for statistical process management, is applied to monitor the topic index over time. As a practical example, we use text data collected from Blue House National Petition boards between March 5, 2018, and March 5, 2020.

• Informatization Policy
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• v.30 no.4
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• pp.89-112
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• 2023

Traffic safety policies have been established and carried out every five years according to the Traffic Safety Act. In addition to policies that are planned and carried out in the long run, there are also policies established to prevent the recurrence of various social issues and accidents. Citizens' participation in administrative affairs has recently seized the spotlight, and has become an efficient means of realizing administrative democracy. Based on big data analysis, this study aims to present how the "Kim Min-sik Case," which recently brought to the fore a social issue of strengthening laws on child school zones, has realized administrative democracy and contributed to legislation due to the emergence of the online platform called "national petition." Policy changes according to the cycle of issues are divided according to time series classification and what contents are devised in each section through text mining analysis. In this regard, the results of this study are expected to provide useful theoretical and practical implications for researchers and policymakers by presenting policy implications that it is important to prepare practical and realistic alternatives in solving policy problems.