• Title/Summary/Keyword: 뉴스역할

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Strategy of CSR Storytelling with the application of Greimas Actantial Model -focusing on Hyundai Motor Company's CSR website (그레마스 행위소 모델을 통해 본 기업의 CSR스토리텔링 전략-현대자동차 CSR홈페이지를 중심으로)

  • HONG, Sook-Yeong
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.119-128
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    • 2016
  • This study is designed with an intention to understand CSR story strategies that the corporates use, focusing on analyzing the method of composition of Hyundai Motor Company's CSR website stories. When analyzing based on interactivity, ease of use, newest, and informativity, interactive dialogue feature was mostly lacking. It is not the most up-to-date data and lacks the newest. However, as sharing information feature was presented, information spread quickly. When applying Greimas' Actantial Model into the 'CSR News' that conveys the news about corporate philanthropic activities, it turned out that the CSR strategies were authenticity, consistency and flexibility. When doing CSR storytelling, a corporate should not only use pre-existing executives and staff members but should use new icons including civic organizations and the youth if possible, and perform its role as a supporter. At the same time, a corporate must build strategical storytelling to the new values and engage in systematic corporate philanthropic activities that meets the need of the time period.

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.

A Study on South Korea reporters reporting North Korea issues: Focusing on KBS and MBC (남한 방송의 북한 보도 생산자 연구 - KBS와 MBC 북한 문제 담당기자와의 심층 인터뷰를 중심으로)

  • Chung, Jae-Chorl
    • Korean journal of communication and information
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    • v.48
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    • pp.135-152
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    • 2009
  • This study deals with South Korea broadcasting reporters reporting North Korea issues focusing on KBS and MBC. More specifically, this study focuses on what kinds of broadcasting reporting restriction factors are in reporting North Korea issues in Korea. In order to achieve the goal of this study, this study attempted the depth-interview with six broadcasting reporters working on KBS and MBC. As study results, this study found out that Korean broadcasting reporters were sensitively influenced by public opinions concerned about a specific North Korea issue and political situations that a North Korea issue was positioned. In order to overcome such kinds of reporting restrictions in reporting North Korea issues, this study suggests that KBS and MBC needs more professional manpower dealing with North Korea issues and outside help such as civic social associations.

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Design and Implementation of Smart-Mirror Supporting Recommendation Service based on Personal Usage Data (사용 정보 기반 추천 서비스를 제공하는 스마트미러 설계 및 구현)

  • Ko, Hyemin;Kim, Serim;Kang, Namhi
    • KIISE Transactions on Computing Practices
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    • v.23 no.1
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    • pp.65-73
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    • 2017
  • Advances in Internet of Things Technology lead to the increasing number of daily-life things that are interconnected over the Internet. Also, several smart services are being developed by utilizing the connected things. Among the daily-life things surrounding user, the mirror can supports broad range of functionality and expandable service as it plays various roles in daily-life. Recently, various smart mirrors have been launched in certain places where people with specific goals and interests meet. However, most mirrors give the user limited information. Therefore, we designed and implemented a smart mirror that can support customized service. The proposed smart mirror utilizes information provided by other existing internet services to give user dynamic information as real_time traffic information, news, schedule, weather, etc. It also supports recommendation service based on user usage information.

Semantic-based Genetic Algorithm for Feature Selection (의미 기반 유전 알고리즘을 사용한 특징 선택)

  • Kim, Jung-Ho;In, Joo-Ho;Chae, Soo-Hoan
    • Journal of Internet Computing and Services
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    • v.13 no.4
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    • pp.1-10
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    • 2012
  • In this paper, an optimal feature selection method considering sematic of features, which is preprocess of document classification is proposed. The feature selection is very important part on classification, which is composed of removing redundant features and selecting essential features. LSA (Latent Semantic Analysis) for considering meaning of the features is adopted. However, a supervised LSA which is suitable method for classification problems is used because the basic LSA is not specialized for feature selection. We also apply GA (Genetic Algorithm) to the features, which are obtained from supervised LSA to select better feature subset. Finally, we project documents onto new selected feature subset and classify them using specific classifier, SVM (Support Vector Machine). It is expected to get high performance and efficiency of classification by selecting optimal feature subset using the proposed hybrid method of supervised LSA and GA. Its efficiency is proved through experiments using internet news classification with low features.

Analizing Korean media reports on security guard : focusing on visual analysis

  • Park, Su-Hyeon;Shin, Min-Chul;Cho, Cheol-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.195-200
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    • 2019
  • The purpose of this paper is to explore security guard's status and roles in society through media reports. Research method is to anlyze security Guard's 'Keyword Trend' and 'Keyword Frequency Analysis' by 'Big Kind' which enables 'News Big Data' analysis. The result came out by the analysis in sectional private security guard's history of settling down, growing up (quantity), and growing up (quality) by separating generations is that there are lots of attention and exposure from media about crime, security guard job, minimum wage, and 'Gabjil', but the images of security guard are recognized as victim of crime and 'Gabjil', and working in poor environment with minimum waged and ambiguous job, instead of people preventing crimes. In the future, stabilizing security guard's social status and work responsibility, and developing job professionalism are necessary to improve the images of security guard.

MPIL: Market prediction through image learning of unstructured and structured data (비정형, 정형 데이터의 이미지 학습을 활용한 시장예측)

  • Lee, Yoon Seon;Lee, Ju Hong;Choi, Bum Ghi;Song, Jae Won
    • Smart Media Journal
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    • v.10 no.2
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    • pp.16-21
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    • 2021
  • Financial time series analysis plays a very important role economically and socially in modern society and is an important task affecting global development, but due to difficulties such as a lot of noise and uncertainty, financial time series analysis prediction is a difficult research topic. In this paper, we propose a market prediction method (MPIL) by converting unstructured data and structured data into images. For market prediction, it analyzes SNS and news data, which is unstructured data for n days, and converts the market data, which is structured data, to an image with the GADF algorithm, and predicts an ultra-short market that predicts the price of n+1 days through image learning. MPIL has an average accuracy of 56%, which is higher than the 50% average accuracy of the model that predicts the market with LSTM by using sentiment analysis used for existing market forecasting.

The Work Identity and Labor Experience of the Broadcasting Scriptwriters : Focusing on the Auto-ethnography that Reflects the Experiences of the Scriptwriters (방송 구성작가의 업무 정체성과 노동경험: 구성작가들의 체험이 반영된 자기기술지 분석을 중심으로)

  • Kim, Mi-Sook
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.645-661
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    • 2021
  • Scriptwriters have appeared in Korea's broadcasting production system for more than 40 years as a key producer. This study specifically investigated the work identity and labor experience of scriptwriters who have played countless roles from planning and organizing programs in various broadcast genres such as non-drama informative program, entertainment, news, and radio to script writing. As a result of examining the work identity and labor experience of the scriptwriters based on the auto-ethnography of the 20 scriptwriters working in the field, they felt that they had an " indispensable" program producer and a media culture producer and at the same time felt that they were taking on tasks that were unclear. They felt that the cause of this inequality was a problem of the production system and employment type, but they recognized that they could not be solved individually, and they were developing their own skills or building connections to get work, and expanding their areas unconditionally.

A Study on the Decline of 'Orientating Journalism' in Korean News Media: An Empirical Analysis of News Coverage of Major Newspapers and Terrestrial TV (매체 간 경쟁의 심화에 따른 안내적 저널리즘의 약화: 중앙종합언론의 보도에 대한 실증적 분석)

  • Jang, Ha-Yong
    • Korean journal of communication and information
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    • v.56
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    • pp.48-70
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    • 2011
  • Although many researchers propose that market-driven journalism is incurred by the worsening of financial situation as a result of intensifying competition in mass media industry, few studies investigated this claim with actual news data. This study analyzed the headline news of eight major newspapers and two terrestrial TV companies to find the weakening of 'orientating-journalism' function of Korean news media. The results revealed that the duplication rate of news items among ten news companies were decreasing, and the range of news subjects were broadened into diverse topics during last ten years. Therefore it seemed that the tendency of monopolization of a certain events or issues was weakening in news reporting. The financial situation of news companies is an important factor in explaining the change of news reporting. The companies with more worse financial situation have higher duplication rate of news topics along as the more amount of soft news items, leading to the gradual deterioration of their own voices in reporting. The rate of 'independent issue report' was also less than seven precent, thus their reporting is evaluated as having many limitations. In sum, the major newspapers and network broadcasting companies are still exerting strong influences in agenda-setting, but they(mostly newspapers) are suffering from the financial problems, resulting the deterioration of performing orientation journalism function. This study concluded with remarks about the role of major news media in current changing situation.

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Media Reporting of Natural Disaster: the Case of Typhoon Rusa (자연재난 보도의 특성 분석: 태풍 루사의 사례 연구)

  • Kim, Man-Jae
    • Journal of the Korean Society of Hazard Mitigation
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    • v.5 no.3 s.18
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    • pp.1-9
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    • 2005
  • The primary source of disaster information for victims as well as ordinary people is mass media. In spite of their importance, the media often inaccurately portrays reality, which has stimulated academic debates. In Korea, however, media reporting patters of disaster have been hardly addressed. Therefore, the paper analyzes how newspaper and television news have reported typhoon Rusa between August 29 and October 1 in 2002 by using KINDS(Korean Integrated News Database System). The results show that television news tend to present more soft news stories emphasizing human interest stories than newspaper articles, relying on victims as primary interviewees. It is also pointed out that the Korean media do not play a significant role in providing disaster information to public regarding how to lessen the effects of impact through preparation. Disaster mythology representing wrong beliefs about human behavior in disaster is found in Korean media reporting, too. Unlike their western counterparts, however, Korean media seem to use the dependency image of helpless victims in order to stimulate donations. Analyses of disaster reporting patterns suggest that, in make disaster warning messages associated with behavioral responses, credible and official sources should provide clear and precise warning messages to the media, and the media also need to stress individual responsibilities in protecting his or her own properties not to make victims heavily dependent on public supports, while inducing donations.