• Korean journal of communication and information
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• v.40
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• pp.249-286
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• 2007

This study examines the main characteristics and differences on people's page in selected four national dailies, such as Chosun Ilbo, Joongang Ilbo, Seoul Shinmum and Hankyoreh Shinmun. Both Chosun Ilbo and Joongang Ilbo are categorized as the conservatives; while Seoul Shinmum and Hankyoreh Shinmun as the progressive. This study has been done by applying methods of content analysis to reveal the differences in terms of people's occupations, types of reports, their philosophies, and standards of selecting people by the dailies for the people's pages. The results shows that the conservative newspapers are very similar to the progressive newspapers in terms of occupations and the types of reports, covering the people on people's pages. More specifically, both the conservative dailies and the progressive dailies report the people for whose jobs are related to both social and cultural works. However, the conservative newspapers have much more coverages than the progressive papers in terms of the publicity reporting on the people. The conservatives are also much more reports on the people who are eager to economic success than the progressive dailies; while the progressives papers have much coverages on those who are interesting in helping others than the conservatives papers. Finally, this study reveals that the conservative dailies mainly cover those who are in publicity activities and social elite groups, while the progressive newspapers are the social celebrities and persons of fame in society.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.141-153
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• 2016

The purpose of this study is to predict future of wage-peak system by using text mining, futures wheel and polarity voting (+, -) techniques after reviewing a variety of documents. For this study, we collected articles, news articles, SNS(Twitter, Blog), research report documents. Above all, we extracted keywords for main subject words by utilizing text mining techniques. Next, we drew a final conclusion about future of wage-peak system by using futures wheel and polarity voting techniques. The result showed that future of wage peak system is positive. Two of five main topics were negatively predicted (favor/oppose of wage-peak system, solving task of wage-peak system), however, three of five main topics were positively predicted (background of wage-peak system, purpose/reason of wage-peak system, alternative wage-peak system). Therefore, because three of the five main topics were positively predicted, the future for wage-peak system is positive.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.61-70
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• 2019

The The government has recently announced its mid- to long-term plans for promoting art. With the advent of the 4th industrial revolution, contemporary art contents that are integrated with Intelligent Information Technologies such as Artificial Intelligence (AI), Virtual Reality (VR), and Big Data are being introduced, and social interest in humanities and creative convergence is rising. In addition, the industrialization of the art market is expanding amid the rising popularity of art among the general public and the growing interest of art as an investment replacement system, along with the strengthening of the creative personality education of our Education Ministry. Therefore, it is necessary to establish a strategy for transparency and revitalization of the art market by providing comprehensive information such as search functions, analysis data, and criticism by writer and price. This paper has established an information system plan for the establishment of an online supply system for art transaction information, providing auction transaction information for art market, providing report and news for art market, providing public relations platform, and providing art market analysis service and membership relationship management service. To this end, the future model was established through environmental analysis and focus analysis of the art market, and strategic tasks and implementation plans were established accordingly.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.143-162
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• 2022

Altmetrics is an alternative impact evaluation index that evaluates the social interest in the research performance of individuals or institutions in universities, research institutions, and research fund support institutions. This study empirically analyzed what kind of attention a papers of domestic library and information science researchers published in an international academic journal was receiving in the international community using Altmetric explorer. As a result of the analysis, 230 papers were tracked. The average Altmetric Attention Score (AAS) was 6.63, but there were 2 papers that received overwhelming attention (over 170 points) as they were mentioned in news report and Twitter. Second, there was a tendency for high AAS to appear in cases where a domestic researcher participated as a co-author and the main author belonged to an overseas institution, and in the case where the research funds were supported by foreign government agencies. In addition to the field of the library information science or information system, the papers classified as the field of public health service and education showed high AAS, and it was confirmed that these papers were published in the journals of various fields such as life science. Finally, it was confirmed that there was a weak correlation of r =0.25 between the AAS and the number of citations of the analyzed paper, but a strong correlation of r =0.68 between the number of Mendeley readers and the number of citations.

• Journal of forensic and investigative science
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• v.2 no.2
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• pp.21-29
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• 2007

News from the media on sexual assaults to children committed by natural fathers doesn't attract social attention any more. The number of crimes related to Child Sexual Assault(CSA) is increasing every year in spite of the "Special Act on Prevention of Sexual Assault in Korea". The YoungNam District Sunflower Center for prevention of Child Sexual Assaults(SC-CSA) was established in Daegu, June 2005. The YoungNam District SC-CSA provides forensic evaluation of physical evidence, medical and psychological treatment for the victims less than 13 years of sexual assaults simultaneously. This study carried out 36 cases of CSA by kin reported to YoungNam District SC-CSA, among 180 cases in total until December 2006 since its opening. Most of the victims were girls (32 cases). 28 cases (78%) were indecent assaults (78%) and 8 cases (22%) were rapes. The assailants were overwhelmingly males (35 cases). The assailants of 21 cases (58.3%) were identified as the victims' natural fathers. The incident locations were victim's residence (31 cases, 86.1%) and the victims had been sexually assaulted regularly for many years (25 cases, 69.4%). Considering the above research, we can conclude that CSA committed by kin has specific characteristics. CSA is not a one-time incident, but consistently occurring crime. However, in 22 cases (61.1%), the victim's guardian didn't want to report about it or punish the assailants. As the assailants were natural fathers or relatives of the victims, the other family members probably thought it might be shameful to reveal their wrong doings and would lead to defamation of their family's reputation. The SC-CSA provides the counseling and medical treatment to the victims with the consent of the parents. Due to the guardians' misjudgment, the incident is sometimes not reported to the police. By not reporting the incident to the police, the assailant freely commits other crimes, which multiplies victims. The legal Act of supporting the management of the SC-CSA is still not regulated, so the stability of the SC-CSA is not guaranteed, yet. Even though it is obligatory to report incidents to the police, some cases are still not reported. Currently, there are three SC-CSA centers : in Seoul, in Daegu, and in Gwangju. More centers need to be established to diminish CSA cases in Korea.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.