• Journal of Digital Convergence
• /
• v.18 no.10
• /
• pp.537-546
• /
• 2020

This study aims to find the structure of social disussion on government 'Senior job program' by analyzing 1107 newspaper articles on 'senior job program' from 11 major newspaper articles and 8 financial newspapers. Topic modeling via latent dirichlet allocation model was employed for analysis and as result, 5 latent topics were extracted as follows : general information, local government project propaganda, senior life related issues, employment creation effect and market relations. Until 2015, most of the articles focused on the first two topics, indicating not much discourse was formed concerning the characteristics of the program. However, after 2015, the third topic started to increase and after the launch of Moon Jae In government, there has been a drastic increase in the employment creation related topic indicating that current social discourse mirrored by the media is definitely focused on employment creation aspect of senior job program. Based on the result, this study suggests the necessity to increase the quality and also enhance employment aspects of Senior job program.

• Science of Emotion and Sensibility
• /
• v.15 no.1
• /
• pp.65-72
• /
• 2012

People receive information through various media, such as newspapers, TV, radio, magazines, or internet, etc. In particular, through the development of the internet and smart-phone they can interact with media and receive information in real time via handheld devices. However the types of information and media could affect the reliability of news information. In this study, it was the main interest how the usability in the new media with the interactivity, such as a desktop, tablet, and smart-phone affects the user's evaluation on the contents displayed by the different new media. Therefore, the present study was conducted to investigate the effect of the usability from the different display size of media and the different contents of articles on the reliability of information empirically. The results showed that the contents of the articles interacting with different devices affect the reliability of information. These findings propose the considerations on the effects of characteristic usability of the new media in the stages of the development of the media contents.

• Journal of Digital Contents Society
• /
• v.12 no.4
• /
• pp.475-483
• /
• 2011

This study examines how television news constructed an issue of social conflict between nationwide and local broadcasting. Especially, this study focused on new ariport of east-south region in Korea. To do this, this study conducted frame analysis on KBS, MBC, SBS main news including national and local ones, broadcasted from 1 January, 2011 to 15 April, 2011. In addition, frame analysis was divided into two aspects, formal and substance. As a result, the findings are as follow: First, in formal aspect both national and local broadcastings are dealing with episode style news frames, while subject style is just 7.5%. Second, in substance aspect, 6 categories are founded: site decision frame, competition and conflict frame, economic frame, rescission and response frame, government countermeasure and alternative frame, etc frame. In conclusion, national and local broadcasting television news have different perspective each other on defining an issues of social conflict like east-south new airport.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.5
• /
• pp.492-501
• /
• 2019

To use the system safely in cyberspace, you need to use a security solution that is appropriate for your situation. In order to strengthen cyber security, it is necessary to accurately understand the flow of security from past to present and to prepare for various future threats. In this study, information security words of security/hacking news of Naver News which is reliable by using text mining were collected and analyzed. First, we checked the number of security news articles for the past seven years and analyzed the trends. Second, after confirming the security/hacking word rankings, we identified major concerns each year. Third, we analyzed the word of each security solution to see which security group is interested. Fourth, after separating the title and the body of the security news, security related words were extracted and analyzed. The fifth confirms trends and trends by detailed security solutions. Lastly, annual revenue and security word frequencies were analyzed. Through this big data news analysis, we will conduct an overall awareness survey on security solutions and analyze many unstructured data to analyze current market trends and provide information that can predict the future.

• The Journal of the Korea Contents Association
• /
• v.17 no.5
• /
• pp.209-220
• /
• 2017

This study explores what are the factors which influence the perception of press professionalism and fairness of journalist in the process of their news production. This study focused on how the difference between mainstream media and online media, the political tendency and the degree of freedom during working effected on the judgement of the freedom of press based on the model of Shoemaker and Reese' hierarchical model. As a result, Research finding is as follows: First, online media journalist evaluated the fairness of press higher than offline media journalists. Second, the consistency of political tendency of offline media is different from online media. Online media journalists evaluated the fairness of the press higher than offline media journalists. Finally, the degree of freedom during performance is the most importance factor which affects the evaluation of press fairness. This study highlights the factors which influence the perception of journalists on the quality of the press based on the survey data which have conducted by Korean press foundation This study implicates how working environment is importance in journalist's writing as a journalist. The freedom of press is very important in the process of news production because the factors which influence the evaluation of the fairness and the professionalism of press reveals the quality of press.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.8
• /
• pp.91-101
• /
• 2021

This paper intends to draw implications for preparing for Post-Corona in the health field and policy fields as the global pandemic is experienced due to COVID-19. The purpose of this study is to analyze the news and trends of media companies through temporal analysis of the three infectious diseases, SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19), in which the domestic infectious disease preventive system was active throughout the first year of the outbreak. To this end, by using the news analysis program of the Korea Press Foundation 'Big Kinds', the number of news articles per year was digitized based on the period when each infectious disease had an impact on Korea, and major trends were implemented and analyzed in a word cloud. As a result of the analysis, the number of articles related to infectious diseases peaked when the World Health Organization (WHO) declared a warning and (suspicious) confirmed cases occurred. According to keyword and word cloud analysis, 'infectious disease outbreak and major epidemic areas', 'prevention authorities', and 'disease information and confirmed patient information' were found to be the main common features, and differences were derived from the three infectious diseases. In addition, the current status of the infodemic was identified by performing word cloud analysis on information in uncertainty. The results of this study are significant in that they were able to derive the roles of the health authorities and the media that should be preceded in the event of a new disease epidemic through previously experienced infectious diseases, and areas to be rearranged.

• Journal of Internet Computing and Services
• /
• v.22 no.6
• /
• pp.51-57
• /
• 2021

If a company's actions to save or avoid taxes are judged to be tax evasion rather than legal tax action by the tax authorities, the company will not only pay tax but also non-tax costs such as damage to corporate image and stock price decline due to a series of tax evasion-related news articles. Therefore, this study measures the frequency of occurrence of tax evasion controversial keywords in internet news portal as a factor to measure the severity of the case, and analyzes the effect of the frequency of occurrence on corporate value. In the Korean stock market, we crawl related articles from internet news portal by using keywords that are controversial for tax evasion targeting top companies based on market capitalization, and generate a time series of the frequency of occurrence of keywords about tax evasion by company and analyze the effect of frequency of appearance on book value versus market capitalization. Through panel regression and impulse response analysis, it is analyzed that the frequency of appearance has a negative effect on the market capitalization and the effect gradually decreases until 12 months. This study examines whether the tax evasion issue affects the corporate value of Korean companies and suggests that it is necessary to take these influences into account when entrepreneurs set up tax-planning schemes.

• The Journal of the Korea Contents Association
• /
• v.20 no.6
• /
• pp.460-469
• /
• 2020

This study analyzes online news articles and cafe articles on the '5-day Rotation Mask Distribution System', which is emerging as a recent issue due to the COVID-19 incident, to identify the mass media and social media agendas containing media and public reactions. This study figured out the difference between mass media and social media. For analysis, we collected 2,096 full text articles from Naver and 1,840 posts from Naver Cafe, and conducted word frequency analysis, word cloud, and LDA topic modeling analysis through data preprocessing and refinement. As a result of analysis, social media showed real-life topics such as 'family members' purchase', 'the postponement of school opening', ' mask usage', and 'mask purchase', reflecting the characteristics of personal media. Social media was found to play a role of exchanging personal opinions, emotions, and information rather than delivering information. With the application of the research method applied to this study, social issues can be publicized through various media analysis and used as a reference in the process of establishing a policy agenda that evolves into a government agenda.

• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.195-207
• /
• 2020

This study aims to analyze how the Korean liberal and conservative newspapers cover the filibuster for blocking the passage of the anti-terrorism act for the protection of citizens and public security by the main opposition party. For the comparative analysis of the Korean liberal and conservative newspapers, this study analyzes how the newspapers used news frame, news source, key word, and news theme. To analyze the effects on news coverage of the newspapers' ideological orientation, this study selects six newspapers: Hankyoreh Shinmun, Kyunghyang Shinmun, Ohmynews from liberal newspapers and Chosun Ilbo, Donga Ilbo, Joongang Ilbo from conservative newspapers. According to research findings, the liberal and conservative newspapers show clear distinction while using news frames when the newspapers cover the filibuster. The liberal newspapers cover the filibuster as a positive political action while the conservative newspapers cover the filibuster as a negative political action. In addition, as key word, "disturbance" is mentioned most by the conservative newspapers while "poisonous clauses" is used most by the liberal newspapers. As a result, this study shows that newspapers are influenced by ideological orientations while covering political issues.

• Annual Conference on Human and Language Technology
• /
• 2012.10a
• /
• pp.107-112
• /
• 2012

본 논문은 일반 텍스트에 나타나는 경쟁 관계에 있는 고유명사들을 경쟁자로 자동 추출하는 방법에 대한 것으로, 규칙 기반 방법과 기계 학습 기반 방법을 모두 제안하고 비교하였다. 제안한 시스템은 뉴스 기사를 대상으로 하였고, 문장에 경쟁관계를 나타내는 명확한 정보가 있는 경우에만 추출하는 것을 목표로 하였다. 규칙기반 경쟁어 추출 시스템은 2개의 고유명사가 경쟁관계임을 나타내는 단서단어에 기반해서 경쟁어를 추출하는 시스템이며, 경쟁표현 단서단어는 620개가 수집되어 사용됐다. 기계학습 기반 경쟁어 추출시스템은 경쟁어 추출을 경쟁어 후보에 대한 경쟁여부의 바이너리 분류 문제로 접근하였다. 분류 알고리즘은 Support Vector Machines을 사용하였고, 경쟁어 주변 문맥 정보를 대표할 수 있는 언어 독립적 5개 자질에 기반해서 모델을 학습하였다. 성능평가를 위해서 이슈화되고 있는 핫키워드 54개에 대해서 623개의 경쟁어를 뉴스 기사로부터 수집해서 평가셋을 구축하였다. 비교 평가를 위해서 기준시스템으로 연관어에 기반해서 경쟁어를 추출하는 시스템을 구현하였고, Recall/Precision/F1 성능으로 0.119/0.214/0.153을 얻었다. 제안 시스템의 실험 결과로 규칙기반 시스템은 0.793/0.207/0.328 성능을 보였고, 기계 학습기반 시스템은 0.578/0.730/0.645 성능을 보였다. Recall 성능은 규칙기반 시스템이 0.793으로 가장 좋았고, 기준시스템에 비해서 67.4%의 성능 향상이 있었다. Precision과 F1 성능은 기계학습기반 시스템이 0.730과 0.645로 가장 좋았고, 기준시스템에 비해서 각각 61.6%, 49.2%의 성능향상이 있었다. 기준시스템에 비해서 제안한 시스템이 Recall, Precision, F1 성능이 모두 대폭적으로 향상되었으므로 제안한 방법이 효과적임을 알 수 있다.