• International Journal of Advanced Culture Technology
• /
• v.10 no.3
• /
• pp.104-110
• /
• 2022

This paper aims to analyze discourse metaphors by paying attention to Seoul mayoral by-election, mainly focusing on election campaign and its related news articles. The 2021 Seoul mayoral by-election was held because the former mayor died in an apparent suicide after he was accused of years of sexual harassment to a former secretary. But in the run-up to the by-election, the newly coined word 'alleged victim' from the ruling party caused a big controversy because the party attempted to deny the authenticity of the secretary's claim by calling her "an alleged victim," instead of "a victim" to defend the former mayor who is a member of the ruling party, implying that the woman's claim is just an allegation with no proof. Thus, this paper has analyzed how news stories were reported with regard to the word 'alleged victim' poser on news stories in two Korean quality newspapers, a conservative newspaper (Chosun Ilbo) and a liberal newspaper (Hankyoreh) from March 1 to April 1, 2021 and analyzed them with the framework of Lakoff and Johnson's Conceptual Metaphor Theory(1980). The findings are as follows: (i) the conservative newspaper reports this issue much more than the liberal newspaper; (ii) both quality newspapers follow the metaphor principles by Conceptual Metaphor Theory; (iii) the conservative newspaper is more likely to follow the Strick Father model (a conservative model) while the liberal newspaper is to follow the Nurturant Parent model (a liberal model), thus indicating that each newspaper's ideology is well represented by the models of Conceptual Metaphor Theory

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

• Journal of the Korean Society for information Management
• /
• v.39 no.1
• /
• pp.257-280
• /
• 2022

In this study, we analyzed comments on news articles of representative companies of the three industries (i.e., semiconductor, secondary battery, and bio industries) that had been listed as national strategic technology projects of South Korea to identify public opinions towards them. In addition, we analyzed the relationship between changes in public opinion and stock price. 'Samsung Electronics' and 'SK Hynix' in the semiconductor industry, 'Samsung SDI' and 'LG Chem' in the secondary battery industry, and 'Samsung Biologics' and 'Celltrion' in the bio-industry were selected as the representative companies and 47,452 comments of news articles about the companies that had been published from January 1, 2020, to December 31, 2020, were collected from Naver News. The comments were grouped into positive, neutral, and negative emotions, and the dynamic topics of comments over time in each group were analyzed to identify the trends of public opinion in each industry. As a result, in the case of the semiconductor industry, investment, COVID-19 related issues, trust in large companies such as Samsung Electronics, and mention of the damage caused by changes in government policy were the topics. In the case of secondary battery industries, references to investment, battery, and corporate issues were the topics. In the case of bio-industries, references to investment, COVID-19 related issues, and corporate issues were the topics. Next, to understand whether the sentiment of the comments is related to the actual stock price, for each company, the changes in the stock price and the sentiment values of the comments were compared and analyzed using visual analytics. As a result, we found a clear relationship between the changes in the sentiment value of public opinion and the stock price through the similar patterns shown in the change graphs. This study analyzed comments on news articles that are highly related to stock price, identified changes in public opinion trends in the COVID-19 era, and provided objective feedback to government agencies' policymaking.

• The Journal of the Korea Contents Association
• /
• v.20 no.5
• /
• pp.118-127
• /
• 2020

The paper introduces trends and methodological challenges of quantitative Korean text analysis by using the case studies of academic and news media articles on "migration" and "immigration" within the periods of 2017-2019. The quantitative text analysis based on natural language processing technology (NLP) and this became an essential tool for social science. It is a part of data science that converts documents into structured data and performs hypothesis discovery and verification as the data and visualize data. Furthermore, we examed the commonly applied social scientific statistical models of quantitative text analysis by using Natural Language Processing (NLP) with R programming and Quanteda.

• Agribusiness and Information Management
• /
• v.11 no.1
• /
• pp.1-9
• /
• 2019

This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

• The Korean Journal of Applied Statistics
• /
• v.32 no.3
• /
• pp.423-434
• /
• 2019

An important issues in Korea society in 2018 was the revision of the university entrance examination system. Among the discussions, in order to grasp what the issue of admission officer system is, attention was focused on the function of media such as monitoring and criticism as well as the tried topic analysis of related news articles. As a result, the reorganization of the College Scholastic Ability Test (CSAT) was derived and showed the sensitivity of Korean society towards the CSAT. Topics directly related to the admission officer system were the selection factor and fairness of the university entrance examination system in relation to the selection factor.

• Korean journal of communication and information
• /
• v.18
• /
• pp.165-198
• /
• 2002

By comparing and analyzing the September 11 terror attack news reports on the daily papers in the U.S., Korea, and China, this research found that national ideology and international relationship concerned have affected news report frames about international dispute matters. Both quantitative and qualitative researches identify differences in news framing. For example, after the September 11 terror attack, the most pages of the USs The New York Times and Korean Chosunilbo were covered with related articles(382 and 192 reports, respectively), whereas Chinese Inminilbo cur down to only 32 reports about the issue. Also in content, both The New York Times and Chosunilbo viewed the September 11 terror attack as evil acts which threatened world peace and justified military action against Afghanistan as inevitable revenge and justice for such evil acts, in the point of the USs official view. However, Inminilbo gave out news only based on facts in a neutral viewpoint. Moreover, regarding American military intervention, the Chinese newspapers held very different news frame from the other two by describing considerable sacrifice and pain of innocent people of Afghanistan seriously. For the story composition, daily newspapers in all three countries took the same way to report focusing on specific events with episodes.

• Korean journal of communication and information
• /
• v.42
• /
• pp.249-279
• /
• 2008

This study tried to examine the effect of reading replies on the changes of attitudes towards the subject of online news articles. For that purpose, an experiment was conducted in which participants were asked to read an article and the replies attached. Attitudes were measured before and after reading replies. Another interest of this research was to examine factors affecting the attitude change after reading replies. It was found that while credibility of replies and efficacy belief of the news subject had negative impacts on the attitudes, individuals' information seeking characteristics gave positive impacts on the attitudes after reading replies. This study concludes with discussion and implications of the findings.

• Korean journal of communication and information
• /
• v.56
• /
• pp.86-116
• /
• 2011

Recently, media diplomacy takes on a substantial role in information war not only in setting global agenda but also in delivering their favored views and frames. Focusing on its crucial impact, this study attempts to investigate empirically the relationship between national prestigious media's news coverage and it's own foreign policy particularly about the 2011 Libya conflict. The total of 530 news articles in such 24 hour English news channels as BBC World, Cnn International, Russia Today, France24, Al Jazeera English and Deusche Welle were analyzed for this study. The analyses reveal that Libya coverages of those news channels are entirely constructed in the context of the foreign policy. To put it concretely, there was the undeniable level of differences in terms of quoting relevant sources, viewpoints, attitudes and frames for the pursuit of media diplomacy helped by high quality journalism. The authors argue in this regard that protecting information sovereignty should be urgently discussed even in the time of digital revolution. To launch 24-hour English news channel like 'Korea 24' would be a possible strategy for influencing global agenda and perspective in way of supporting national interests.

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