• Journal of the Korean Society of School Health
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• v.29 no.2
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• pp.63-70
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• 2016

Purpose: The purpose of this study was to find the factors influencing adolescents' adult media engagement. The study is based on Agnew's General Strain Theory (GST) and a micro-systemic perspective. Methods: The study examined 479 middle school freshmen who participated in the fourth wave of the Korean Children & Youth Panel Survey (KCYPS) conducted by National Youth Policy Institute. Data were analyzed through descriptive statistics, factor analysis, and reliability analysis using SPSS 22.0 Ver. Also, hypothesis testing was performed via covariance-based structure equation modeling (CB-SEM) using Amos 21.0 Ver. Results: Strain factors had positive effects on adolescent depression, and depression had a positive effect on adult media engagement. Also, cell-phone dependency had a positive mediation effect between depression and adult media engagement. Conclusion: The study's result identified the factors affecting adult media engagement. Therefore, we suggest intervention programs considering adolescents' strains, depression and cell-phone dependency to improve their health.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1499-1506
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• 2018

The purpose of this study is to analyze the status and use of the image media in education institutions for infants and children to find out about the required image media in education institutions for infants and children. The survey included 184 teachers working in kindergartens and daycare centers in Seoul and Gyeonggi Province. They were then surveyed and statistical analysis was conducted. As a result of the study, the image media in possession and the image media in use were different. There were also differences between teacher age and class age. The results of these studies helped to identify unnecessary image media in education institutions for infants and children. It is also believed that it could contribute to providing basic data on the image media to be supported and the image media to be developed.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.398-411
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• 2012

Recently, the hotel business requires to secure various client bases and accompany proper marketing and advertising activities for survival and development. Media PPL has been popular as an effective method to meet these requirements. Many studies have been practiced about the effect of media PPL marketing. This study was practiced to confirm the effect of the hotel place marketing using media PPL and the involvement for character in PPL. The following 4 assumptions are established for these purposes. The first confirms the impact relation between media PPL and hotel image. The second confirms whether the involvement for characters in media PPL influences the impact relation between media PPL and hotel image. The third confirms the impact relation between hotel image and purchasing behaviors. And the last confirms whether the involvement for characters in media PPL influences the impact relation between hotel image and purchasing behaviors. In order to analyze the assumptions established for this study, A questionnaires is carried out and factor analysis, reliability analysis and regression analysis are performed with them. According to the results of these analyses, all of 4 established assumptions are partly accepted.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.309-318
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• 2017

This study is for analyzing the tone, the frame and the characteristics of political news in social media. Social news media is not same as old media in sharing news freely by SNS like tweeter, facebook and reporting, editing by anyone using SNS with various opinions. With Content analysis, sampling 419 cases from 'Wikitree' by the keyword, 'presidential election', all the full text analysed each how is social media making public opinion differently and which frame is using in. As the result, the social media has different tone, frame, and characteristic due to the reported figure, type of report, information source, attitude to the government, specifically shows a lack of in-depth report and distinct soft-journalism just same as old media's. Because the tone of social news media is not probable, specific but improbable, vague, using the irrational, strategic and episodic frame mainly.

• Korean Journal of Community Nutrition
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• v.24 no.5
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• pp.363-373
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• 2019

Objectives: This study examined the effects of dietary education experience (home, school, and mass media) on food consumer information literacy. Methods: The study subjects were 454 adult consumers who answered a structured questionnaire. The questionnaires addressed the subjects' demographics, dietary education experience (home, school, and mass media), and food consumer information literacy. The data were analyzed through frequency analysis, mean, standard deviation, t-test, ANOVA, Pearson's correlation, and multiple regression analysis using SPSS Win 24.0. Results: First, the scores of mass media education experience were 3.41 ± 0.64, which was the highest, and 3.15 ± 0.74 for school education experience, which was the lowest. Second, the level of sub-literacies (task definition, information seeking strategy, location and access, use of information, synthesis, and evaluation) showed scores of 3.20 ± 0.72 ~ 3.47 ± 0.68, which were slightly higher than the median. The synthesis literacy was the highest, as opposed to the information seeking strategy literacy, which was the lowest. The location and access and synthesis literacy were higher in women. Third, a significant positive(+) relationship was observed between all sub-literacies and each of three dietary education experiences (home, school and mass media). According to multiple regression analysis, the major variables influencing the sub-literacies of food consumer information literacy were home education, mass media, and school education in that order. Conclusions: The dietary education experience was the highest through mass media. The factor that showed the highest food consumer information literacy was synthesis. The factors influencing the food consumer information literacy were dietary education experience through home, school, and mass media.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.195-200
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• 2019

Nowadays as the use of mobile communication devices such as smart phones and tablets and the use of Computer is expanded, data is being collected exponentially on the Internet. In addition, due to the development of SNS, users can freely communicate with each other and share information in various fields, so various opinions are accumulated in the from of big data. Accordingly, big data analysis techniques are being used to find out the difference between the response of the general public and the response of the media. In this paper, we analyzed the public response in SNS about child allowance and childbirth grant and analyzed the response of the media. Therefore we gathered articles and comments of users which were posted on Twitter for a certain period of time and crawling the news articles and applied sentiment analysis. From these data, we compared the opinion of the public posted on SNS with the response of the media expressed in news articles. As a result, we found that there is a different response to some national policy between the public and the media.

• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.7-36
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• 2019

In this study, quantitative and content analysis was conducted on 37,818 news articles that were reported on the subject of 'library' for 29 years from 1990 to 2018 in order to analyze the tendency of media coverage about 'library'. First, the quantitative change in media coverage was analyzed according to the criteria by time, subject and media type. In addition, keyword frequency analysis and semantic network analysis were conducted to analyze the trends of the contents of the press and the frames inherent in the press. The results showed that the media showed a major interest in the library's informational, educational, and cultural functions, and the trend of the subject's interest was generally consistent with that of the library community, except for the issue of librarianship. Lastly, the main attitudes that the media take toward the reporting of library articles were the reporting and advertising functions.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.7
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• pp.877-884
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• 2004

In this paper, structural analysis is performed to investigate the deformation of porous media in a proton exchange membrane fuel cell (PEMFC). Structural deformation of air plate of the fuel cell causes the change in configuration and cross sectional area of the channel. The distributions of mass flow rate and pressure are major factors to decide the performance of a PEMFC. These factors are affected by channel configuration of air plate. Two kinds of numerical air plate models are suggested for flow analyses. Deformed porous media and undeformed porous media are considered for the two models. The Numerical flow analysis results between deformed porous media and undeformed porous media have some discrepancy in pressure distribution. The pressure and velocity distribution under a working condition are numerically calculated to predict the performance of the air plates. Pressure and velocity distributions are compared for two models. It is shown that structural deformation makes difference in flow analysis results.

• Journal of Korea Technology Innovation Society
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• v.9 no.4
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• pp.865-883
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• 2006

This paper explored the development factors influencing the high growth of internet media industry recently in Korea. Both theoretical model and analytic model were formulated and tested by the results of questionnaire analysis. The factors extracted from five fields were as followings: policy, technology, market, firm, and profitability. Factor analysis was used to test the fitness of the given model, and the hypothesized model was found to be useful to explain the development factors of the internet media industry. The results showed that industry's development was explained by 41.3% for firm level, 37.6% for IT technology and policy, and 21.00/0 for market condition and competition.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.1-10
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• 2021

Cyberbullying has become a severe issue and brought a powerful impact on the cyber world. Due to the low cost and fast spreading of news, social media has become a tool that helps spread insult, offensive, and hate messages or opinions in a community. Detecting cyberbullying from social media is an intriguing research topic because it is vital for law enforcement agencies to witness how social media broadcast hate messages. Twitter is one of the famous social media and a platform for users to tell stories, give views, express feelings, and even spread news, whether true or false. Hence, it becomes an excellent resource for sentiment analysis. This paper aims to detect cyberbully threats based on Naïve Bayes, support vector machine (SVM), and k-nearest neighbour (k-NN) classifier model. Sentiment analysis will be applied based on people's opinions on social media and distribute polarity to them as positive, neutral, or negative. The accuracy for each classifier will be evaluated.