• Asia Pacific Journal of Corpus Research
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• v.3 no.1
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• pp.1-20
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• 2022

As a milestone progression in China's space exploration history, Chang'e Project has attracted a lot of media attention since its first launching. This study aims to examine and compare the similarities and differences between the Chinese media and the British media in using nouns, verbs, and adjectives to report the Chang'e Project. After categorising the documents based on specific project phases, we created two diachronic corpora to explore the linguistic shifts and similarities and differences of diction employed by the Chinese and British media on the Chang'e Project ideology. This longitudinal study was performed with Lancsbox and the CLAWS web tagger through critical discourse analysis as the theoretical framework. The findings of the current study showed that the Chang'e Project coverage in both media increased on an annual basis, especially after 2019. In contrast to the objectivity and positivity in the Chinese Media, the British Media seemed to be more subjective with more appraisal adjectives in the news reports. Nonetheless, both countries were trying to be objective and formal in choosing nouns and verbs. Ideology-wise, the Chinese news media reports portrayed more positivity on domestic circumstances while the British counterpart was typically more critical. Notably, the study outcomes could catalyse future research on the Chang'e Project and facilitate diplomatic policies.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.112-122
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• 2020

This study analyzed how KBS's 'Type and Format', 'Professionalism' and 'Infectious Disease-related Issues' appear in the media news related to Corona-19 under the three periods of 'discovery', 'diffusion' and 'recovery'. According to an analysis of a total of 473 media news, In all three periods, 'Straight Report' and 'Information Delivery Frame' were high to inform the truth of the infectious disease. In addition, the 'transmission of facts' frame was more used than the emotional transmission in reporting the risk situation. However, the proportion of 'moral evaluation frames' in the second phase was relatively high, and the proportion of non-professional journalists was still overwhelmingly higher than professional journalists. Meanwhile, infectious disease-related issues had the most content on 'infection control', and relatively little information on how to deal with them. Based on the above findings, this study suggested the implications of 'Increased in-depth and professional press coverage', 'Refrain from moral evaluation frames' and 'a comprehensive presentation of various infectious disease-related information'.

• Journal of the Korean Society of School Health
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• v.25 no.1
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• pp.133-142
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• 2012

Purpose: The purpose of this study is to identify the effects of suicide reports by mass media and social support on suicide ideation for college students. Methods: Participants are 350 undergraduate students in one university. This study uses three questionnaires: Perception and Attitude toward Suicide Reports, Social Support, and Suicidal Ideation. The SPSS/WIN 12.0 program is used to analyze the data. In particular, the participants' biographical data are analyzed into frequency and percentage. The degrees of suicide reports, social support, and suicide ideation are calculated into Mean and SD. Moreover, the suicide ideation by suicide report and social support are analyzed by the two-way analysis of variance (ANOVA). Results: This study reveals that college students have an average of 30 minutes to one hour news time a day (38.9%) and have at least one suicide report in a month (30.3%). 79.7% participants believe that the suicide report of mass media results in the cause of the copycat suicide. In terms of suicide report and suicide ideation, the types of mass media (F (4,340)=2.41, p<.05) and suicidal urge (F (1,340)=31.23, p<.01), respectively, have significant influences on suicide ideation. On the other hand, the social support and suicide ideation, whether college students have their mentors (F (1,328)=13.26, p<.001) and/or careres (F (1,328)=26.84, p<.001) have significant influences on suicide ideation. Conclusion: College students have higher suicide ideation at news by internet site rather than by radio, TV, and so on. Moreover, college students who have a suicide feeling in the last one year, have more suicide ideation than who have not. On the other hand, college students who have a mentor and carer tend to have less suicide ideation.

• Korea Trade Review
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• v.47 no.2
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• pp.121-132
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• 2022

This study aims to find out the ESG management keywords in the logistics industry through social network analysis using news article and sustainable management reports. In recent years, global climate change and Covid-19 have spurred companies to step up their new management system called ESG management. ESG is a combination of Environment, Social, and Governance. In the past, companies' financial performance was the most important, but in the current investment market, the movement to reflect ESG management factors in investment decisions is strengthening. This study aims to find out degree centrality, betweenness centrality, and closeness centrality through social network analysis after collecting related keywords to derive ESG management issues of logistics companies. This study collected 2,359 news articles searched under the keywords "ESG", "Logistics". In addition, data on ESG activities were also used for analysis by referring to the sustainable management reports of logistics companies. As a result of the analysis of degree centrality, it was found that ESG management of logistics companies is in progress, focusing on small enterprises and eco-friendly keywords, and is concentrated on social responsibility and eco-friendly activities. In the betweenness centrality analysis, logistics companies such as HMM and CJ Logistics were derived in a high ranking. In the closeness centrality analysis, eco-friendly keywords topped the list, while the number of keywords related to governance was relatively small, suggesting that logistics companies need to improve their governance structure.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.129-153
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• 2023

This study was conducted in the context of the Covid-19 pandemic by analyzing a large amount of press report frames regarding the Covid-19 vaccine which is of great public interest, in order to explore the role and direction of trusted media as core elements of crisis communication. The study period lasted for eight months beginning in November 2020 when the development of the Covid-19 vaccine was in progress until June 2021. Set-up as research subjects were the Chosun Ilbo, Joongang Ilbo, Dong-A Ilbo and Hankyoreh according to their public confidence rankings and number of readers.The analysis method used structured topic Modeling (STM) and semantic network analysis. As a result, based on a clear cluster of word structures and a central analysis value, a total of 64 relevant frames, 16 for each news company, were gathered. In the third phase a comparative analysis of the four news companies was carried out to verify the organizational degree of the frames and substantial differences.

• The Korean Journal of Health Service Management
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• v.12 no.3
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• pp.13-26
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• 2018

Objectives: This study investigated how Korean daily newspapers frame the present government's health insurance coverage expansion policy, Moon Jae-in Care. Methods: A contents analysis was conducted to construct news frames represented in the four Korean daily newspapers' editorials and columns on Moon Jae-in Care during from April 2017 to April 2018. News text was classified into three different layers of frames: expressive element, narrative structure, and implied values. Results: The analysis revealed that the frequency of narrative frames was as follows: health system improvement (20.8%), public burden (14.6%), opposition by doctors (14.6%), and populism (12.5%). The financial sustainability accounted for 41.7% of the value frame, followed by procedural legitimation (18.8%), and coverage expansion (16.7%). The results also revealed that reported frames were different among newspapers: Chosun Ilbo tended to report in a negative tone, while Hankyoreh shinmun and Kyunghyang shinmun used a positive tone. Conclusions: This finding suggests that there are salient framings in reports on Moon Jae-in Care. Based on the results, the government needs to present a detailed financing plan on Moon Jae-in Care in detail. I discussed another implication of media frames results.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.93-107
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• 2014

In this paper, we report what we have observed with regard to user-perspective issue clustering based on multi-layered two-mode network analysis. This work is significant in the context of data collection by companies about customer needs. Most companies have failed to uncover such needs for products or services properly in terms of demographic data such as age, income levels, and purchase history. Because of excessive reliance on limited internal data, most recommendation systems do not provide decision makers with appropriate business information for current business circumstances. However, part of the problem is the increasing regulation of personal data gathering and privacy. This makes demographic or transaction data collection more difficult, and is a significant hurdle for traditional recommendation approaches because these systems demand a great deal of personal data or transaction logs. Our motivation for presenting this paper to academia is our strong belief, and evidence, that most customers' requirements for products can be effectively and efficiently analyzed from unstructured textual data such as Internet news text. In order to derive users' requirements from textual data obtained online, the proposed approach in this paper attempts to construct double two-mode networks, such as a user-news network and news-issue network, and to integrate these into one quasi-network as the input for issue clustering. One of the contributions of this research is the development of a methodology utilizing enormous amounts of unstructured textual data for user-oriented issue clustering by leveraging existing text mining and social network analysis. In order to build multi-layered two-mode networks of news logs, we need some tools such as text mining and topic analysis. We used not only SAS Enterprise Miner 12.1, which provides a text miner module and cluster module for textual data analysis, but also NetMiner 4 for network visualization and analysis. Our approach for user-perspective issue clustering is composed of six main phases: crawling, topic analysis, access pattern analysis, network merging, network conversion, and clustering. In the first phase, we collect visit logs for news sites by crawler. After gathering unstructured news article data, the topic analysis phase extracts issues from each news article in order to build an article-news network. For simplicity, 100 topics are extracted from 13,652 articles. In the third phase, a user-article network is constructed with access patterns derived from web transaction logs. The double two-mode networks are then merged into a quasi-network of user-issue. Finally, in the user-oriented issue-clustering phase, we classify issues through structural equivalence, and compare these with the clustering results from statistical tools and network analysis. An experiment with a large dataset was performed to build a multi-layer two-mode network. After that, we compared the results of issue clustering from SAS with that of network analysis. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The sample dataset contains 150 million transaction logs and 13,652 news articles of 5,000 panels over one year. User-article and article-issue networks are constructed and merged into a user-issue quasi-network using Netminer. Our issue-clustering results applied the Partitioning Around Medoids (PAM) algorithm and Multidimensional Scaling (MDS), and are consistent with the results from SAS clustering. In spite of extensive efforts to provide user information with recommendation systems, most projects are successful only when companies have sufficient data about users and transactions. Our proposed methodology, user-perspective issue clustering, can provide practical support to decision-making in companies because it enhances user-related data from unstructured textual data. To overcome the problem of insufficient data from traditional approaches, our methodology infers customers' real interests by utilizing web transaction logs. In addition, we suggest topic analysis and issue clustering as a practical means of issue identification.

• Korean journal of communication and information
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• v.52
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• pp.5-26
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• 2010

This study explores how major Korean television evening news report, interpret and evaluate the Korean Grand Canal Project(KGCP). For this research, 488 news clips regarding the KGCP are selected among the MBC, KBS and SBS daily evening news. As a result, the findings are as follows: First, the ratios of analyzing reports for MBC, brief reports for KBS, and straight news for SBS are outstanding. At the same time, the three news companies show that they are against the KGCP through the reporting attitudes. However, the most frequently broadcasted news frames is the authoritative political execution for both MBC and KBS, and the political agenda for SBS news respectively. In terms of the most frequently interviewed group for all three news is the government and ruling Grand National Party; they are the most favor of the authoritative political executions and the political agenda news frames. However, the NGO groups and the opposition parties which are against the KGCP support "Process" in terms of the frames activity. Finally, MBC speaks out the frame activity of "Process", supporting the political opposition parties and NGO groups. On the country, both KBS and SBS speak up the government and ruling party, supporting the KGCP, stressing frame activity of "Aspiration". This it concludes that both KBS and SBS are short of the social responsibilities as a social media mediator for the social disputes between the government and the NGO groups, including opposition parties.

• Korean journal of communication and information
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• v.16
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• pp.108-135
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• 2001

This study examines the structure of the problems of Korean newspaper reporting raised by the civil society. Based on the differences in the mode of presentation, the problems of newspaper reporting were classified into three types; prominent, associated, and isolate problem. The relations among these problems were defined as the degree of co-occurrence in the monitoring articles. A network analysis was conducted to examine the structure of the problems in Korean newspaper reporting. A $33{\times}33$ similarity matrix of the problems was created by analyzing the data from one monitoring report and two weekly media critics newspapers. The results showed that of the 33 problems, most of them were mentioned as prominent or associated problems. The problems related to the news contents were mostly treated as prominent ones, while the problems about the news writing and reporting styles were frequently treated as associated ones. The network structure of newspaper criticism based on the co-occurrence of 33 problems were divided into six clusters. Among them, the most central was the group including the problems of "unfairness,' "biased interpretation," and "vagueness". In addition, the problems were found to have different roles in the network. Of the 33 problems, two were liaisons and four were attached isolates, indicating the hierarchical structure of problems in newspaper reporting. These results were discussed in the light of two viewpoints; the absence of objective criteria in media criticism, and the need for the comparisons of the current study's results with the opinions of newspaper readers and journalists. finally, the implications for the future studies were presented.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.1-8
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• 2023

International public opinion on King Sejong Institute (KSI) is one of the most important factors influencing its overseas development as a worldwide non-profit educational service organization. China is one of the overseas strategic regions for KSI to spread the Korean Language. This paper intends to assess KSI's current public opinion environment in China. With content analysis of 87 news reports related to KSI in WeChat Official Accounts from 2014 to 2022, this paper attempts to assess the public opinion environment of KSI in China. In this paper, we show that the Chinese media' s current attention to KSI is generally lacking. The current reports focus more on activity narrations, and the main report factors come from local media and universities' oncampus news, which have relatively weak dissemination power and limited influences. On one side, the reasons are related to the characteristics of Chinese media, while the KSI establishment method in China also accounts for a lot. Therefore, it is necessary for the KSI to timely adjust the cooperation mode and publicity strategies according to the Chinese political and cultural characteristics to promote the sustainable development of KSI in China by continuously improving the public opinion environment.