• Title/Summary/Keyword: news data

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Acculturation Strategies and Media Contents (재미한인의 문화변용전략과 미디어 콘텐츠)

  • Park, Cheong Yi;Sung, Jiyeon
    • The Journal of the Korea Contents Association
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    • v.12 no.12
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    • pp.479-488
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    • 2012
  • The study examined acculturation patterns of Korean-Americans living in Portland, USA and their relationship to the consumption of media contents. Under the academic guidance of Berry's acculturation model, the four strategies of acculturation model were extensively inquired that immigrants and sojourner would adopt in host culture: Integration, Assimilation, Separation and Marginalization. Furthermore, how differently the four acculturation modes are related to media contents was examined. For this study, the survey questionnaires were administered among Korean Americans in Portland, USA. The total 371 data were collected and analyzed. The result indicated that 1) they preferred integration(M=4.57) and separation modes(M=4.49) over assimilation (M=2.92); 2) as separation tendency increased, the preference of Korean contents over American contents increased while as assimilation tendency increased, the preference of American contents over Korean contents; 3) high assimilation persons consumed more news than entertainments in American media contents. Compared to it, high separation persons used more entertainments than news in American media contents and more news than entertainments in Korean media contents.

The Effect of Control-Ownership Wedge on Stock Price Crash Risk (소유지배 괴리도가 주가급락위험에 미치는 영향)

  • Chae, Soo-Joon;Ryu, Hae-Young
    • The Journal of Industrial Distribution & Business
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    • v.9 no.7
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    • pp.53-59
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    • 2018
  • Purpose - This study examines the effect of control-ownership wedge on stock crash risk. In Korea, controlling shareholders have exclusive control rights compared to their cash flow rights. With increasing disparity, controlling shareholders abuse their power and extract private benefits at the expense of the minority shareholders. Managers who are controlling shareholders of the companies tend not to disclose critical information that would prevent them from pursuing private interests. They accumulate negative information in the firm. When the accumulated bad news crosses a tipping point, it will be suddenly released to the market at once, resulting in an abrupt decline in stock prices. We predict that stock price crash likelihood due to information opaqueness increases as the wedge increases. Research design, data, and methodology - 831 KOSPI-listed firm-year observations are from KisValue database from 2005 to 2011. Control-ownership wedge is measured as the ratio (UCO -UCF)/UCO where UCF(UCO) is the ultimate cash-flow(control) rights of the largest controlling shareholder. Dependent variable CRASH is a dummy variable that equals one if the firm has at least 1 crash week during a year, and zero otherwise. Logistic regression is used to examine the relationship between control-ownership wedge and stock price crash risk. Results - Using a sample of KOSPI-listed firms in KisValue database for the period 2005-2011, we find that stock price crash risk increases as the disparity increases. Specifically, we find that the coefficient of WEDGE is significantly positive, supporting our prediction. The result implies that as controlling shareholders' ownership increases, controlling shareholders tend to withhold bad news. Conclusions - Our results show that agency problems arising from the divergence between control rights and cash flow rights increase the opaqueness of accounting information. Eventually, the accumulated bad news is released all at once, leading to stock price crashes. It could be seen that companies with high control-ownership wedge are likely to experience future stock price crashes. Our study is related to a broader literature that examined the effect of the control-ownership wedge on stock markets. Our findings suggest that the disparity is a meaningful predictor for future stock price crash risk. The results are expected to provide useful implications for firms, regulators, and investors.

The Influence of the Environmental Conditions, the Political Tendency and the Degree of Freedom during Performance on the Perception of Journalists on the Quality of the Press (뉴스생산 환경 및 조직과 기자의 정치적 성향, 업무 수행 자유도가 언론의 전문성, 공정성 인식에 미치는 영향 연구)

  • Hong, Ju-Hyun;Choi, SunYoung
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.209-220
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    • 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.

Automatic Classification and Vocabulary Analysis of Political Bias in News Articles by Using Subword Tokenization (부분 단어 토큰화 기법을 이용한 뉴스 기사 정치적 편향성 자동 분류 및 어휘 분석)

  • Cho, Dan Bi;Lee, Hyun Young;Jung, Won Sup;Kang, Seung Shik
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.1
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    • pp.1-8
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    • 2021
  • In the political field of news articles, there are polarized and biased characteristics such as conservative and liberal, which is called political bias. We constructed keyword-based dataset to classify bias of news articles. Most embedding researches represent a sentence with sequence of morphemes. In our work, we expect that the number of unknown tokens will be reduced if the sentences are constituted by subwords that are segmented by the language model. We propose a document embedding model with subword tokenization and apply this model to SVM and feedforward neural network structure to classify the political bias. As a result of comparing the performance of the document embedding model with morphological analysis, the document embedding model with subwords showed the highest accuracy at 78.22%. It was confirmed that the number of unknown tokens was reduced by subword tokenization. Using the best performance embedding model in our bias classification task, we extract the keywords based on politicians. The bias of keywords was verified by the average similarity with the vector of politicians from each political tendency.

Trend Analysis of Sports for All-Related Issues in Early Stage of COVID-19 Using Topic Modeling (토픽 모델링을 활용한 코로나19 초기 생활체육 이슈 분석)

  • Chung, Yunkil;Seo, Sumin;Kang, Hyunmin
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.57-79
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    • 2022
  • COVID-19, which started in December 2019, has had a great impact on our lives in general, including politics, economy, society, and culture, and activities in sports and arts have also been significantly reduced. In the case of sports, sports for all fields in which ordinary citizens participate were particularly affected, and cases of infection in places closely related to people's lives, such as gyms, table tennis, and badminton clubs, also amplified the social fear of the spread of COVID-19. Therefore, in this study, we analyzed news articles related to sports for all at the time when COVID-19 was first spread, and investigated what issues were emerging and being discussed in the sports for all field under the COVID-19 situation. Specifically, we collected news articles dealt with sports for all issues under the COVID-19 situation from Korea's leading portal news sites and identified key sports for all issues by performing topic modeling on these articles. Through the analysis, we found meaningful issues such as COVID-19 outbreak in sports facilities and support for sports activities. In addition, through wordcloud analysis of these major issues, we visually understood the issues and identified the changes in these issues over time.

The Political Recognition Surrounding Candlelight Rally and Taegeukgi Rally: A Big Data Analytics on Online News Comments (촛불 집회와 태극기 집회를 둘러싼 정국 인식: 온라인 뉴스 댓글에 대한 빅데이터 분석)

  • Kim, ChanWoo;Jung, Byungkee
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.6
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    • pp.875-885
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    • 2018
  • This study analyzed the major issues of the Candlelight Rally and Taegukgi Rally registered in news comments of the politics section of the portal site from October 24, 2016 to March 19, 2017. We examined the political recognition of the two rallies with the Named Entity Recognition. The main analytical items are the responsibility for impeachment, the subject and method of settlement, and other major issues. As a result of the analysis, the comments of the Candlelight Rally focused on the impeachment support and the legal penalties of the regime ministers, and insisted on resolving the political situation through the next election after impeachment. The comments of the Taegukgi Rally focused on the rejection of the impeachment to maintain the regime and insisted on rejecting the impeachment of the Constitutional Court. The conflicts between the group that supported Candlelight Rallis and the group that supported Taegukgi rallies are predicted to last at least for the time being (Park Geun-hye's trial period) after the presidential election. After the impeachment of the President and replacement of the regime this conflict will develop into the confrontation between the pursuit of liquidation and new politics and the attempt to influence the trial of Park Geun-hye. Therefore, the efforts to integrate society in the aftermath are necessary.

The Historic Value of Photographic Records in the News and Culture Magazine 'Sasanggye' (시사교양잡지 『사상계』의 사진기록물과 기록학적 가치)

  • Jung, Eun Ah;Park, Ju Seok
    • The Korean Journal of Archival Studies
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    • no.79
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    • pp.471-513
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    • 2024
  • The monthly news and culture magazine, 'Sasanggye,' established by Jang Jun-ha from 1953 to 1970, served as a platform for government criticism and intellectual representation. The magazine created photographic-essays covering a variety of topics and utilized images as a visually impactful tool with news value. This paper aims to critically examine the photographic-essays within 'Sasanggye' as archival records, shedding light on their intrinsic value. Before delving into this assessment, the paper thoroughly explores the developmental process and characteristics of these photographic-essays. And based on the content divisions within the main text, the paper categorized the themes captured in the photographic essays into politics, economics, society, culture, and miscellaneous topics. It then introduced representative photographicessays. From an archival perspective, looking at photographs involves elucidating that photographs carry meanings beyond mere data. The photographic essays in 'Sasanggye' serve as photographic records providing evidence of 1960s Korean society and encapsulating crucial visual information. Furthermore, the photographic essays in 'Sasanggye' hold a historical significance in the aspect of Korean magazine documentary photography. The photo-essays in 'Sasanggye' carry worth in the history of photography and encompass evidential and informational values as photographic records.

A Study on Layout Extraction from Internet Documents Through Xpath (Xpath에 의한 인터넷 문서의 레이아웃 추출 방법에 관한 연구)

  • Han Kwang-Rok;Sun Bok-Keun
    • The Journal of the Korea Contents Association
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    • v.5 no.4
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    • pp.237-244
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    • 2005
  • Currently most Internet documents including news data are made based on predefined templates, but templates are usually formed only for main data and are not helpful for information retrieval against indexes, advertisements, header data etc. Templates in such forms are not appropriate when Internet documents are used as data for information retrieval. In order to process Internet documents in various areas of information retrieval, it is necessary to detect additional information such as advertisements and page indexes. Thus this study proposes a method of detecting the layout of web pages by identifying the characteristics and structure of block tags that affect the layout of web pages and calculating distances between web pages. As a result of experiment, we can successfully extract 640 documents from 1000 samples and obtain 64% recall rate. This method is purposed to reduce the cost of web document automatic processing and improve its efficiency through applying the method to document preprocessing of information retrieval such as data extraction and document summarization.

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SNS Big-data Analysis and Implication of the Marine and Fisheries Sector (해양수산 SNS 빅데이터 분석 결과 및 시사점)

  • Park, Kwangseo;Lee, Jeongmin;Lee, Sunryang
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.20 no.2
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    • pp.117-125
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    • 2017
  • SNS Big-data Analysis means to find potential value from big data which has produced by the social media. In this paper, SNS Big-data has been analysed to find Korean concerns by using 24 key words from the marine and fisheries sector. Among 24 key words, seafood, shipping and Dokdo Island are the most mentioned ones. Some key words such as ocean policies and marine security that have less concerns have bess mentioned less. Also, key words that are led by government are mostly mentioned by news media, but key words that are led by private sector and have intimate relationship with people's lives are mostly mentioned by Blogs and Twitters. Therefore, reflecting close national concerns by SNS Big-data Analysis and especially resolving negative factors are the most significant part of the policy establishment. Also, differentiated promotion methods need to be prepared because the frequency of key words mentioned from each type of media are different.

Trends of South Korea's Informatization and Libraries' Role Based on Newspaper Big Data (신문 빅데이터를 바탕으로 본 국내 정보화의 경향과 도서관의 역할)

  • Na, Kyoungsik;Lee, Jisu
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.14-33
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    • 2018
  • The purpose of this study to analyze the informatization trends in Korea through objective newspaper data for the period from 1998 to 2017 for informatization and library in four newspapers including KyoungHyang Newspaper, Kookmin Ilbo, Hankyoreh and Hankookilbo. Based on the analysis results of metadata and related words using BIGKinds, a news big data system, this study presented analysis of simple frequency, classification and classification of the keywords 'information', 'informatization' and 'library'. Based on the results, we compared and analyzed the tendency of informatization in the media through comparison with the 'Information White Paper' which is the publication of government agencies and with research about the research topic of 4 academic journals in the Library and Information Science field. This study tried to interpret the trends of informatization based on the media and it is meaningful that we analyzed the big data of newspaper article which is the long term and time series data. Based on the results of the study, implications of the growth and development of libraries with domestic informatization were suggested. It is expected that we will be able to create a basic framework for developing library informatization policy through the further studies.