• Journal of Digital Convergence
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• v.19 no.3
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• pp.167-176
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• 2021

With development of big data analysis technology, many studies to find social issues using texts mining techniques have been conducted. In order to derive social issues, previous studies performed in a way that collects a large amount of text data from news or SNS, and then analyzes issues based on text mining techniques such as topic modeling and terms network analysis. Social issues are the results of various social phenomena and factors. However, since previous studies focused on deriving social issues that are results of various causes, there are limitations to revealing the cause of the issues. In order to effectively respond to social issues, it is necessary not only to derive social issues, but also to be able to identify the causes of social issues. In this study, in order to overcome these limitations, we proposed a method of deriving the factors that cause social issues from texts related to social issues based on the theory of part of Korean linguistics. To do this, we collected news data related to social issues for three years from 2017 to 2019 and proposed a methodology to find causes based causal sentences based on text mining techniques.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• Korean Journal of Culture and Social Issue
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• v.12 no.1
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• pp.103-128
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• 2006

The present study investigated individuals' perception of important social issues in Korea. Based on previous research(Hahn, 1994; Hahn & Kang, 2000), a checklist containing 370 social issues was created. This checklist was administered to 1600 Koreans(812 college students, 788 adults) residing in 5 regional areas in Korea during the period of December 2004 and February 2005. Data were analyzed by the respondents' age, sex, and residing areas, and findings were compared to those of the two previous studies conducted in 1994 and 1999. Major findings of the study are as follows. First, across the three surveys, over 50% of the respondents consistently indicated the following four items as important social issues in the Korean society: political corruption, environmental pollution, the education system that is driven too much for college entrance, employment difficulty for local college graduates. Second, more than 50% of the respondents in the current survey indicated the following 12 items as important social issues that must be resolved: high unemployment rate, political corruption, environmental pollution, education system, overall difficulty of getting jobs, the nation's distrust in politics, hardships of life among the working classes, political incompetence, people with defective personal credit standings, employment difficulty for local college graduates, political instability, corruption of public servants. Third, analyses on the top 30 social issues across the three surveys revealed a positive and significant rank-order correlation for a five-year period(i.e., 1994-1999, 1999-2004), but not for a ten-year period(i.e., 1994-2004). Implications of the study and directions for future research are discussed.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.121-128
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• 2016

Social Media transformed the mass media based information traffic, and it has become a key resource for finding value in enterprises and public institutions. Particularly, in regards to disaster management, the necessity for public participation policy development through the use of social media is emphasized. National Disaster Management Research Institute developed the Social Big Board, which is a system that monitors social Big Data in real time for purposes of implementing social media disaster management. Social Big Board collects a daily average of 36 million tweets in Korean in real time and automatically filters disaster safety related tweets. The filtered tweets are then automatically categorized into 71 disaster safety types. This real time tweet monitoring system provides various information and insights based on the tweets, such as disaster issues, tweet frequency by region, original tweets, etc. The purpose of using this system is to take advantage of the potential benefits of social media in relations to disaster management. It is a first step towards disaster management that communicates with the people that allows us to hear the voice of the people concerning disaster issues and also understand their emotions at the same time. In this paper, Korean language text mining based Social Big Board will be briefly introduced, and disaster issue detection model, which is key algorithms, will be described. Disaster issues are divided into two categories: potential issues, which refers to abnormal signs prior to disaster events, and occurrence issues, which is a notification of disaster events. The detection models of these two categories are defined and the performance of the models are compared and evaluated.

• Research in Mathematical Education
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• v.24 no.1
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• pp.49-67
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• 2021

In this study, the researchers analyzed the 2015 revised 3rd~6th grade Korean mathematics textbooks from the aspects of social justice in mathematics education. For this study, the researchers constructed a textbook analysis framework for social justice subjects, which categorized by social issues, economy education, democratic education, personality education, safety education, environmental education, and career education. As a result, the 2015 revised elementary mathematics textbooks were reflected the subject matter of social justice in the order of social issues, economic education and democratic education, personality education and environmental education, safety education and career education. Also, the subject of social justice appears in all 3rd~6th grade mathematics textbooks, but it is not explicitly dealt with by combining it with mathematical content. The researchers suggested that mathematics lessons should be developed including social justice issues aligned with elementary mathematics contents.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.163-182
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• 2019

Analyzing the frequency and correlation of the news keywords in the modern society that are becoming complicated according to the time flow is a very important research to discuss the response and solution to issues. This paper analyzed the relationship between the flow of social keyword and major issues through the analysis of news big data for 10 years (2009~2018). In this study, political issues, education and social culture, gender conflicts and social problems were presented as major issues. And, to study the change and flow of issues, it analyzed the change of the issue by dividing it into five years. Through this, the changes and countermeasures of social issues were studied. As a result, the keywords (economy, police) that are closely related to the people's life were analyzed as keywords that are very important in our society regardless of the flow of time. In addition, keyword such as 'safety' have decreased in increasing rate compared to frequency in recent years. Through this, it can be inferred that it is necessary to improve the awareness of safety in our society.

• Architectural research
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• v.21 no.2
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• pp.41-48
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• 2019

The purpose of this study is to research and development of 'Korea B(Benefit)-impact Model' for Sustainable Development. A concept evaluation model is 'B(Benefit)-impact model' in U.S.A. We use the results of surveys that examined the importance of social value issues to stakeholders in Korea to implement the benefit-impact model in Korea. In particular, in this paper, we use the KSI(Korean Sustainability Index) survey data conducted by the Korea Standards Association to evaluate the social value of the construction industry for representative stakeholders in the construction industry. The social value pool and the activity indicator pool used for the survey are created based on relevant International Standards; ISO 26000, ISO 14001, ISO 37001. As a result, Korea B-impact model for construction industry included the following five core social value issues; Strengthen transparency of corporate management, Ensure fair employment and employment relations, Efforts to prevent corruption, Conduct fair competition, Efforts to prevent environmental pollution. In addition, the US B-impact model has three limitations. First, it is unclear whether the key indicators have been derived while considering all issues of social value. Second, US B-impact model indicators are developed by the social responsibility experts, so it is necessary to review by stakeholders in each industry. Finally, it would be more effective for companies to use the B-impact model index as a more detailed activity indicator. When developing a Korea B-impact model, the following methods are used to supplement it. First, we reviewed all social value issues using international standards. Secondly, we used the KSI(Korean Sustainability index) survey results to derive the importance of the social value issue of construction industry in Korea. Finally, we have clearly matched the activity indicators by social value core issues based on the GRI Standard so that companies can actually use the Korea B-impact model for the construction sector. The detailed development stages and results of this study are as follows;.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.475-484
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• 2016

The purpose of this article is to investigate how returning veterans with Post Traumatic Stress Disorder (PTSD) develop psycho-social issues and describe how helping professionals can assist them with re-adapting to the community. Based on a literature review, the author explores the causes of psycho-social issues of returning veterans with PTSD, reviews various ways of helping, and proposes critical factors that helping professionals should be aware of when intervening in psycho-social issues of returning veterans with PTSD. It is found that psycho-social issues of returning veterans with PTSD are closely related to their distrust and aversion to authorities. Group therapy can be used as a viable intervention for alleviating PTSD symptoms and derived psycho-social issues in terms that veterans with PTSD tend to more open with other group members who can share and understand unique experiences.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.117-125
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• 2022

Along with the uprising of sustainability issues in the field of business and management, firms increasingly strategize and mobilize resources towards sustainability related activities and processes much more than ever. Together with this phenomenon, the concept of corporate sustainability has been noticed much more by scholars and practitioners from diverse fields. However, differently with an expectation, it is undoubted that there is a small controversy when we treat the issues related to its definition, antecedents, consequences, processes and so on. Based on this kind of understanding, this study tries to suggest and advance a new approach to the corporate sustainability based on the premises of social capital theory for social relations, which explains the role of institutions, and norms that shape firms 'social interactions. Main argument is that firm's voluntary, progressive, and proactive activities for sustainability issues can be understood as the firm's social capital building processes. Though there are a little existing study dealing with this issue, this study has a difference with them by proposing social capital building issues based on firm's real activities. Finally, case analyses based on a new approach are suggested and the theoretical considerations with some limitations are explained.

• Journal of Smart Tourism
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• v.1 no.1
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• pp.9-17
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• 2021

Smart tourism research and development have mainly focused on the benefits of smart tourism technologies to certain stakeholders with transactional relationships in destinations. However, smart technologies in destinations could also cause several negative outcomes, leading to social, ethical, and moral issues. Such issues arise from the power imbalance between different stakeholders of smart tourism development. To mitigate the adverse effects of smart technologies, destinations need to enunciate the essential moral and ethical principles when developing smart tourism. Therefore, adopting descriptive and normative approaches to stakeholder theory, this paper proposes a framework to showcase several methods to address the issues.