• Title/Summary/Keyword: 뉴스 가치

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The Effect of Representativeness in News Recommendation Mechanisms on Audience Reactions in Online News Portals (대표성 기반 뉴스 추천 메커니즘이 온라인 뉴스 포탈의 독자 반응에 미치는 영향)

  • Lee, Un-Kon
    • The Journal of Society for e-Business Studies
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    • v.21 no.2
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    • pp.1-22
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    • 2016
  • News contents has been collected, selected, edited and sometimes distorted by the news recommendation mechanisms of online portals in nowadays. Prior studies had not confirmed the consensus of newsworthiness, and they had not tried to empirically validate the impacts of newsworthiness on audience reactions. This study challenged to summarize the concepts of newsworthiness and validate the impact of representativeness of both editor's and audience's perspective on audience reactions as perceived news quality, trust on news portal, perceived usefulness, service satisfaction, loyalty, continuous usage intention, and word-of-mouth intention by adopting the representativeness heuristics method and information adoption model. 357 valid data had been collected using a scenario survey method. Subjects in each groups are exposed by 3 news recommendation mechanisms: 1) the time-priority news exposure mechanism (control group), 2) the reference-score-based news recommendation mechanism (a single treatment group), and 3) the major-news-priority exposure mechanism sorting by the reference scores made by peer audiences (the mixed treatment group). Data had been analyzed by the MANOVA and PLS method. MANOVA results indicate that only mixed method of both editor and audience recommendation mechanisms impacts on perceived news quality and trust. PLS results indicate that perceived news quality and trust could significantly affect on the perceived usefulness, service satisfaction, loyalty, continuance usage, and word-of-mouth intention. This study would contributions to empathize the role of information technology in media industry, to conceptualize the news value in the balanced views of both editors and audiences, and to empirically validate the benefits of news recommendation mechanisms in academy. For practice, the results of this study suggest that online news portals would be better to make mixed news recommendation mechanisms to attract audiences.

A Method for Evaluating Online News Value and Personalization (온라인 뉴스 가치 평가 및 개인화 기법)

  • Choi, Kwang Sun;Kim, Soo Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8195-8209
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    • 2015
  • The purpose of this paper is to propose a method for recommendation and personalization of important news articles based on evaluating news value. Evaluation of news is the approach by which editors select news articles for cover-story in traditional offline news papers area. For this, my study proposes a suite of methods to select and personalize a set of news based on evaluating news articles, not just on the personal preference for them. The aforementioned the value of news articles including social impact, novelty, relevance to each audience, and human interest, all of which have been factorized in many previous studies, is a main concept for a procedural and structural application methodology deduced in this study. After a comparative case study with other online news services, it was shown that my research provides more effective way to select important news articles in terms of user satisfaction than others.

An Analysis of Card News and Deconstructing News Values in Curated News Contents in the Digital Era

  • Hong, Seong Choul;Pae, Jung Kun
    • Journal of Internet Computing and Services
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    • v.18 no.2
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    • pp.105-111
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    • 2017
  • This paper explores the characteristics of curated news content. With content analysis of 1020 news clips, the study found that news values immersed in card news differed from those of traditional news. Specifically, timeliness was not regarded as a key factor in newsworthiness. Rather, information and social impacts were highly emphasized. Considering news consumers depend on traditional news for timely news, curated news content was not a replacement for traditional news but a supplement. By refurbishing photos from previous news reports and googling the web for related information, curated news reiterates social meaning and provides relevant information. Furthermore, salience of human interest can be explained by entertaining characteristics of curated news. In story forms, the list technique has several important points to stress, and was more frequently used than inverted pyramids. Another key finding of this study is man-on-the street as the most quoted main sources in the curatorial context.

Millennial Generation's Mobile News Consumption and the Impact of Social Media (밀레니얼세대의 모바일 뉴스소비와 소셜미디어의 영향)

  • Seol, Jinah
    • Journal of Internet Computing and Services
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    • v.19 no.4
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    • pp.123-133
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    • 2018
  • This paper examined how the millennial generation consumes mobile news through social networking sites with regards to user patterns, preference topics and news values, and whether news topics and news values may influence their overall mobile SNS news consumption and interactivity. The findings show that more than 2/3 of respondents consumed mobile SNS news at least once everyday for 30minutes to one-hour. Male millennials tended to use Facebook and Kakao-talk more than female. While the portal site was the most accessed channel for consuming mobile news, SNS was the second, more than the combined use of national daily papers, TV, and internet newspapers. The respondents' demographic characteristics and news topics also affect the form and degree of news interactivity. With regards to their preferences and prioritization of news values, millennials tend to perceive 'impact' and 'usefulness' as being most important, despite the differences of their demographic characteristics. They also preferred those news values most. There were significant differences in terms of preferred news topics according to the demographics' characteristics.

Linked Open Data Construction for Korean Healthcare News (국내 언론사 보건의료 뉴스의 Linked Open Data 구축)

  • Jang, Jong-Seon;Cho, Wan-Sup;Lee, Kyung-hee
    • The Journal of Bigdata
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    • v.1 no.2
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    • pp.79-89
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    • 2016
  • News organizations are looking for a way that can be reused accumulated intellectual property in order to find a new insights. BBC is a worldwide media that continually enhances the value of the news articles by using Linked Data model. Thus, utilizing the Linked Data model, by reusing the stored articles, can significantly improve the value of news articles. In this paper, we conducted a study of Linked Data construction for the healthcare news from a newspaper company. The object names associated with medical description or connected to other published information have been constructed into Linked Open Data service. The results of the study are to systematically organize the news data that were accumulated rashly, and to provide the opportunity to find new insights that could not be found before by connecting to other published information. It may be able to contribute to reused news data. Finally, using SPARQL query language can contribute to interactively searched news data.

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A news visualization based on an algorithm by journalistic values (저널리즘 가치에 기초한 알고리즘을 이용한 뉴스 시각화)

  • Park, Daemin;Kim, Gi-Nam;Kang, Nam-Yong;Suh, Bongwon;Ha, Hyo-Ji;On, Byung-Won
    • Journal of the HCI Society of Korea
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    • v.9 no.2
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    • pp.5-12
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    • 2014
  • There was widespread criticism of the online news services due to their bias toward sensational and soft news. Thus, news services based on journalist values are socially requested. News source network analysis(NSNA), an algorithm to cluster and weight news sources, quotes, and articles, is suggested as a method to emphasize on journalist values like facts, variety, depth, and criticism in the previous study. This study suggests 'News Sources' as a visualization tool of NSNA. 'News Sources' shows news as bar graphs, weighted by facts and criticism, and arranged by organizations and subjects. This study designed a beta version using KINDS, a news archive of Korean Press Foundation.

주제별 DB검색 - 뉴스ㆍ날씨정보 검색활용

  • Korea Database Promotion Center
    • Digital Contents
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    • no.2 s.21
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    • pp.112-116
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    • 1995
  • 뉴스와 날씨는 우리의 인간사를 둘러싸는 대단히 중요한 환경임에 틀림이 없다. 날씨에 의해 뉴스가 발생하고 또한 뉴스는 날씨를 쫓아 사회적, 경제적인 부가가치를 생성하여 우리들에게 주기도 한다. 바로 우리는 위의 두단어에 관련한 정보를 "시의적절"하게 활용하고 있을까?

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Content-analyzing News Frame on the Incheon Free Economic Zone between the Metropolitan Newspaper and the Local Daily Newspaper (인천경제자유구역 개발에 관한 중앙지와 지역일간지의 보도방식과 뉴스 프레임 연구)

  • Kang, Seung-Hun
    • Korean journal of communication and information
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    • v.57
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    • pp.160-180
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    • 2012
  • This research points out how the major newspapers and the Local newspaper try to report the issue of development in Incheon Free Economic Zone differently and observe how the press has played a role in a process. It is seen that the type of story-leading has been followed by properly traditional one as usual and reflected the recent trends well in both. The perspectives of ChosunIlbo to look at the regional issue is taken in the situation of a middle clear attitude but KyeonginIlbo is faithful to make the position of the monitor. In other words, a Metropolitan newspaper often deals with the regional issues in a more passive posture, while a Local daily newspaper tries to report the same issue in a more positive and active form. This kind of attitude upon news composition reflects the quality of the news, which is a standard of actual newspaper articles. The ChosunIlbo focuses on the political issues more while, KyeonginIlbo emphasizes on the cultural similarities. And they trace the economic importance, human interest but less to the structural figures.

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Developing Corporate Valuation System with Opinion Mining Based on Big Data (빅데이터 기반의 오피니언 마이닝을 이용한 기업 가치 평가 시스템 개발)

  • Lee, Jung-Tae;Cheon, Mina;Lim, Sang-Woo;June, Byung-Seok;Kim, Jae-Hoon;Han, Yeong-Woo
    • Annual Conference on Human and Language Technology
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    • 2013.10a
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    • pp.126-128
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    • 2013
  • 빅데이터(Big Data)는 현재 생산되고 있는 데이터 중 그 규모가 방대하고, 생성 주기가 짧으며, 수치 데이터 뿐 아니라 텍스트 이외의 멀티미디어 등 비정형화된 데이터를 포함하는 대규모 데이터를 말한다. 빅데이터를 처리하여 가치 있는 정보를 추출하는 방법에 관한 연구가 활발하게 진행되고 있으며, 이를 바탕으로 빅데이터가 다양한 분야에서 활용되고 있다. 현재 국내 주식시장에서도 빅데이터를 이용하여 기업의 투자에 활용하고 있다. 이 논문에서는 인터넷의 증권과 관련된 뉴스를 수집하여 수집된 뉴스와 주가 지수를 이용하여 기업 뉴스 평가 시스템을 개발하는 방법을 제안한다.

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Analysis of Fashion News Based on News Value Assessment Criteria -Focused on Online Fashion News- (뉴스가치 평가 기준에 따른 패션 뉴스 분석 -온라인 패션 뉴스를 중심으로-)

  • Lee, Jisun;Chun, Jaehoon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.2
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    • pp.285-304
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    • 2021
  • Today, false news is increasing in volume, and fashion news often circulates uncritically. Therefore, an evaluation framework is needed to determine whether fashion news is accurate or good. In journalism, the judgment of good news is made through the criterion of news value factors. These factors are the criteria for assessing the likelihood of an event being reported in the news. Through the study of news value by various journalistic scholars, this study selected nine news value factors applicable to the value measurement of fashion news as the framework of analysis. Based on this, after analyzing the actual news on online fashion media, new characteristics and content were reconstructed for fashion news. As a result of the study, it was finally selected that the crucial factors were: expertise, social importance, timelessness, conflict, and negativity for measuring the value of fashion news. To assess the news value of fashion accurately, this study found that reconceptualized news values are needed, which are different from the news values of general journalism. The study is meaningful in that it explores elements and content for the development of a theoretical framework for the qualitative evaluation of fashion news.