• Korean journal of communication and information
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• v.74
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• pp.136-176
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• 2015

Despite the great significance we attach on culture, only a handful of researches focus on the characteristics and practices of cultural journalism. This study has aimed to unravel the changes in the trajectory of cultural journalism of Korean major newspapers, through content analysis and qualitative interpretation of the cultural contents they report. The results show that the number of cultual items have decreased compared to that of 10 years ago, although the entire number of pages has meanwhile increased. News items focused on 'products(advertisement)' and 'life(style)' have increased, whereas those on 'knowledge refined' and 'leisure entertainment' have decreased. 'Critique review commentary', 'academics' and 'performance exhibition art music' items turn out to have decreased significantly; soft contents such as mass culture, tourism, fashion and beauty, on the other hand, have increased considerably. Moreover, the demographic characteristics of news contributors remain almost the same, except that the proportion of ordinary readers/audience has slightly increased. Similarly, although there were no difference regarding the sources of direct quotation, the frequency of quotes from ordinary readers has increased. Consequently, these results imply how the cultural journalism of Korean newspapers are limited in encompassing diverse types of content, differentiating constitution, and presenting critical viewpoints.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.6
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• pp.651-659
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• 2014

With the popularization of big data environment, big data have been highlighted as a key information strategy to establish national spatial data infrastructure for a scientific land policy and the extension of the creative economy. Especially interesting from our point of view is the cadastral information is a core national information source that forms the basis of spatial information that leads to people's daily life including the production and consumption of information related to real estate. The purpose of our paper is to suggest the scheme of big data analytics with respect to the articles of cadastral resurvey project in order to approach cadastral information in terms of spatial data integration. As specific research method, the TM (Text Mining) package from R was used to read various formats of news reports as texts, and nouns were extracted by using the KoNLP package. That is, we searched the main keywords regarding cadastral resurvey, performing extraction of compound noun and data mining analysis. And visualization of the results was presented. In addition, new reports related to cadastral resurvey between 2012 and 2014 were searched in newspapers, and nouns were extracted from the searched data for the data mining analysis of cadastral information. Furthermore, the approval rating, reliability, and improvement of rules were presented through correlation analyses among the extracted compound nouns. As a result of the correlation analysis among the most frequently used ones of the extracted nouns, five groups of data consisting of 133 keywords were generated. The most frequently appeared words were "cadastral resurvey," "civil complaint," "dispute," "cadastral survey," "lawsuit," "settlement," "mediation," "discrepant land," and "parcel." In Conclusions, the cadastral resurvey performed in some local governments has been proceeding smoothly as positive results. On the other hands, disputes from owner of land have been provoking a stream of complaints from parcel surveying for the cadastral resurvey. Through such keyword analysis, various public opinion and the types of civil complaints related to the cadastral resurvey project can be identified to prevent them through pre-emptive responses for direct call centre on the cadastral surveying, Electronic civil service and customer counseling, and high quality services about cadastral information can be provided. This study, therefore, provides a stepping stones for developing an account of big data analytics which is able to comprehensively examine and visualize a variety of news report and opinions in cadastral resurvey project promotion. Henceforth, this will contribute to establish the foundation for a framework of the information utilization, enabling scientific decision making with speediness and correctness.

• Korean journal of communication and information
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• v.29
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• pp.43-71
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• 2005

The study attempts to introduce 'Gotcha Journalism' to the Korea journalism, research and analyze it. Gotcha journalism is the journalistic reporting attitude that the journalists repeatedly and intensively reports public figures, especially politicians' mistakes or happening. 'Gotcha' is abbreviation of "I got you", frequently used in the English and American culture. In order to get the goal of this study, several journalists who are currently working for Chosun, Joongang, Dong-a, Hangyore, Kyunghyang and Seoul, national covering daily newspapers. In addition, the reporters who work for KBS, MBC, and SBS were Interviewed. All journalists who have been worked more than 5 years at the politic department were selected as interviewees. Thus, Intensive interviews are prime source of this study. Based the result of the research, gotcha journalism is externally derived from obsessive interest of Korean people to politics. Internally, it is easy to report happening or mistakes rather than big argument or ideological agenda of the politicians as news for journalists and to catch readers. In addition, the competition with advertising income accelerates this situation. And gotcha journalistic reporting behavior or attitude highly relates to political propensity of the newspapers or broadcastings. Especially some of the newspapers take gotcha journalism as a political struggling tool. It is appeared that another major cause for gotcha journalistic reporting behavior is customer-driven news production.

• Analyses & Alternatives
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• v.6 no.2
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• pp.185-226
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• 2022

This study examines the crisis of trust of French journalism in the context of a global decline of media credibility. First of all, in the process of a huge social movement called the 'yellow vest' movement that started in 2018, distrust of the French journalism was expressed in an extreme form. This study examines some external factors in terms of the historical development of the French journalism and the public's long-standing 'criticism of journalism'. Specifically, this study first examines the quantitative indicators of trust of French journalism which were shown in Digital News Report published by the Reuters Institute for the Study of Journalism. Next, it examines the historical and institutional formation process of French journalism and public distrust that emerged along with it. And specifically, the structural crisis-economic crisis, digital transformation and intensification of competition, and deterioration of quality problems etc.-of the French journalism exposed in media coverage on social movement in 2018 is review in relation with the working process or 'routine' of actual news production. In conclusion, this study asserts that the various aspects of internal rifts in French journalism system, as well as external shocks (the influence of social movements), are a key factor in explaining the recent decline of trust in French journalism.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.87-97
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• 2017

This paper examined how consumers' attitude toward the telecommunication expense was affected by news reports through the experiment. Participants were randomly assigned to one of four group (control group, high-expense-claimed-media group, low-expense-claimed-media group, and both-exposed-media group), and asked to indicate credibility & neutrality toward media report, similarity between media report, and their own thought, their attitude toward the telecommunication expense. The result of ANOVA showed that the high-expense-claimed-media was perceived more credible and neutral than the low-expense-claimed-media. ANCOVA was conducted to eliminate the impact of similarity between media report and their own thought on the evaluation of credibility & neutrality toward media report, and the result showed that there was no difference. Also, participants evaluated the telecommunication service so expensive, regardless of what kind of media reports they were exposed. We found that consumers' prior belief, which telecommunication service was expensive, might interrupt consumers' learning process for new information from media. To resolve the social pressure about mobile service rate-cutting, it is necessary to investigate how to dampen consumers' stereotype about the telecommunication expense. The future research using the framing effect could be considerable.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.55-63
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• 2017

One of the purposes of Information Technology (IT) is to support human response to natural and social problems such as natural disasters and spread of disease, and to improve the quality of human life. Recent climate change has happened worldwide, natural disasters threaten the quality of life, and human safety is no longer guaranteed. IT must be able to support tasks related to disaster response, and more importantly, it should be used to predict and minimize future damage. In South Korea, the data related to the damage is checked out by each local government and then federal government aggregates it. This data is included in disaster reports that the federal government discloses by disaster case, but it is difficult to obtain raw data of the damage even for research purposes. In order to obtain data, information extraction may be applied to disaster reports. In the field of information extraction, most of the extraction targets are web documents, commercial reports, SNS text, and so on. There is little research on information extraction for government disaster reports. They are mostly text, but the structure of each sentence is very different from that of news articles and commercial reports. The features of the government disaster report should be carefully considered. In this paper, information extraction method for South Korea government reports in the word format is presented. This method is based on patterns and dictionaries and provides some additional ideas for tokenizing the damage representation of the text. The experiment result is F1 score of 80.2 on the test set. This is close to cutting-edge information extraction performance before applying the recent deep learning algorithms.

• Journal of Korean Public Health Nursing
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• v.18 no.1
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• pp.90-102
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• 2004

The purpose of the study was to analyze the current status of hypertension related information on the mass-media. Data were collected on the hypertension related reports in three major broadcasting centers, KBS1$\cdot$2, MBC, SBS, for 2 years, 1999-2001. Sample of the study was 134 reports. The results were as follows: 1. There were differences in frequencies by broadcasting center and programs. KBS and 9PM News were highest in proportions, $62.6\%\;and\;37.3\%$ respectively. 2. In regard to reporting time, $90\%$ were reported in the afternoon. and $62.5\%$ of those reports were in 9 PM, followed by 8PM. & 7PM. and 6AM. 3. In regard to area of the report, $35.8\%$ belonged to social section, followed by $26.1\%$ science. $15.7\%$ international. and $11.2\%$ life and health. 4. In terms of monthly distribution, December, November, and August had higher proportion of reports than other months as well as fall and winter. 5. There were higher proportion of reports containing 'treatment and management' with 'complication management' targeted to 'patients' than 'prevention' targeted to 'general population' in terms of content of the report. In summary, MBC and SBS were more focused on 'treatment and management' with KBS more focused on 'prevention'. There were more 'prevention' related reports in summer, and 'complication management' reports in the morning with 'treatment and management' reports in the afternoon.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.167-172
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• 2021

The objective of this study is to present the academic implications and developmental direction of the police assigned for special guard system through big data analysis on the objective and macroscopic viewpoint of the media. As research method, this study conducted the analysis on 'police assigned for special guard' and the analysis of related words that would visualize the keywords highly related to keyword trend and news. Also, after dividing the period into the 1990s, 2000s, and 2010s, the number of relevant articles in each period was drawn for understanding the flow. In the results of this study, the perception of media report of police assigned for special guard was about the recruitment of police assigned for special guard, and relevant events/accidents, which showed the coexistence of positive interest in the recruitment of police assigned for special guard and negative image of events/accidents related to police assigned for special guard. As a result, however, the necessity and demand for police assigned for special guard are increasing. Thus, the police assigned for special guard should be engaged in work after carefully thinking of its role in charge of ethical responsibility and safety as an axis for maintaining the national safety and social order.

• Journal of the Korean Society of Safety
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• v.32 no.3
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• pp.83-89
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• 2017

A new technology has provided the nation, industry, society, and people with innovative and useful functions. National economy and society has been improved through this technology innovation. Despite the benefit of technology innovation, however, since technology society was sufficiently mature, the unintended side effect and negative impact of new technology on society and human beings has been highlighted. Thus, it is important to investigate a risk of new technology for the future society. Recently, the risks of the new technology are being suggested through a large amount of social data such as news articles and report contents. These data can be used as effective sources for quantitatively and systematically forecasting social risks of new technology. In this respect, this paper aims to propose a data-driven process for forecasting and assessing social risks of future new technology using the text mining, 4M(Man, Machine, Media, and Management) framework, and analytic hierarchy process (AHP). First, social risk factors are forecasted based on social risk keywords extracted by the text mining of documents containing social risk information of new technology. Second, the social risk keywords are classified into the 4M causes to identify the degree of risk causes. Finally, the AHP is applied to assess impact of social risk factors and 4M causes based on social risk keywords. The proposed approach is helpful for technology engineers, safety managers, and policy makers to consider social risks of new technology and their impact.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.41-51
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• 2020

A series of corporate failures and financial crises have raised attention to organizational governance issues, especially for financial institutions. In the banking system, corporate governance further plays a unique role because of the uniqueness of the banking organizations. Therefore, this study aims to examine the effect of corporate governance disclosure on bank performance by building a corporate governance disclosure index (CGDI) for 10 Islamic banks operating in Iran, Saudi Arabia and Malaysia. The data used in this study are secondary data taken from annual reports and sourced from the official websites of each banks include Iran Exchange, Stock Market Quotes and Financial News, and Bursa Malaysia. This study uses content analysis of the annual bank report within five years (2014-2018). The results show that Islamic banks comply with 72.4% of the attributes discussed in the CGDI. The most frequently reported and disclosed elements are board structure and audit committee. The regression results provide evidence that Islamic banks with a higher level of corporate governance disclosure reported high operating performance measured by ROA. In contrast to the expectation, the financial performance of ROE and Tobins'q are not significantly related to the disclosure of sharia bank governance.