• Title/Summary/Keyword: 뉴스 유형

Search Result 109, Processing Time 0.044 seconds

Analysis on the Hyperlink of News Articles on the Internet Media : Focusing upon the Naver, Daum, Yahoo Site (인터넷 미디어 뉴스기사 본문의 하이퍼링크에 대한 분석 -네이버, 다음, 야후를 중심으로-)

  • Park, Kwang-Soon
    • The Journal of the Korea Contents Association
    • /
    • v.10 no.11
    • /
    • pp.329-340
    • /
    • 2010
  • This paper aims to analyze the hyperlink between the portal sites and the press dot coms news and to grasp the features of news service on the online journalism. As a result of the analysis, the portal sites, in the number of news articles which the hyperlink service had been provided, were more than the press dot coms. But in the number of the hyperlinks in the news story which hyperlink service had been provided, the press dot coms were more than the portal sites. The contents that were hyperlinked to the news stories of online journalism were composed of a informative type and an advertising one. All contents that were hyperlinked to the news stories on portal site were informative. On the other hand, about 92% of the contents that were hyperlinked to the news stories on the press web sites were advertising. By means of this analysis, the features of news service on the online journalism could be grasped.

Effect of the Recommendation Story in Online Journalism on the User's News Selection (온라인 저널리즘의 추천기사가 뉴스 이용자의 뉴스기사 선택에 미치는 영향)

  • Park, Kwang-Soon;Ahn, Jong-Mook
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.3
    • /
    • pp.1795-1805
    • /
    • 2015
  • This paper analyzed the recommendation stories in the online journalism on the user's news choice by college students in two ways. One way is recommendation stories, and the other one is their arrangement and the index of use. From the results of the analysis, 7 out of 11 types of recommendation stories had positive effects on selecting news stories, while the 4 other types had little effect. Most of the recommendation stories that had little effect on the user's news selection were 'comments' or 'things' related to tweets' on SNS. The arrangements of new stories and the searched keywords had some effects on the user's news choice but had no effect on the index of use. In addition, the hours of using news stories and the types of recommendation stories were mostly correlated with each other. Consequently, formal factors, such as the arrangement of news stories and the recommendation stories of online journalism, had positive effects on the user's news selection, as well as headlines and keywords of news stories.

Study on Relationship of Channel-Selection-Type & Audiences in TV News (TV 뉴스 콘텐츠의 채널 선택 유형에 따른 수용자 특성)

  • Kim, Seung-Hwan
    • The Journal of the Korea Contents Association
    • /
    • v.7 no.6
    • /
    • pp.99-106
    • /
    • 2007
  • This study aimed at finding out news viewership composition of the major 5 broadcasting companies in Korea and analysing the reasons behind their channel choice as we live in so-called the 'multi-channel era'. To figure out demographic features and channel preferences of viewers, the study focused on the 4 watcher types; channel loyalty type, brief news type, central watcher type and peripheral watcher type. The result shows that most viewers fall into the 'brief new type', which means that there is a close relation between life style changes and TV news-contents viewership. Channel preferences were found to differ according to demographic features of viewers like gender, age and professions.'Central Watcher' type was found to prefer KBS1; 'channel loyalty' type, MBC; 'peripheral watcher', SBS; and 'brief news' type, YTN, while only KBS2 has no distinctive viewership of its own.

Automatic Newsletter System with Web Personalization (웹 개인화를 통한 자동화된 뉴스레터 시스템)

  • 김계숙;박우수;권오현;박규석
    • Proceedings of the Korea Multimedia Society Conference
    • /
    • 2001.11a
    • /
    • pp.389-392
    • /
    • 2001
  • 본 논문에서는 웹 데이터 마이닝을 통하여 웹 사이트를 방문한 사용자의 컨텐츠 유형에 따른 정보를 조사하고, 필터링 과정을 통해 분류화하고, 이러한 과정을 통해 얻은 정보를 이용하여 뉴스레터를 발송하며, 발송된 뉴스레터로부터의 컨텐츠 유형에 따른 CTR(Click Through Rate)과 사용자 반응을 추적하여 이러한 정보를 분석하고 사용자 프로파일 및 웹 사이트로부터 분류화된 정보, 그리고 추적된 정보와 함께 뉴스레터 컨텐츠를 재구성하는 개인화된 자동화 뉴스레터 시스템을 설계하고 구현한다.

  • PDF

Analysis of the Types of News Stories on the Online Broadcast -Focusing upon the Broadcasting Websites of NAVER Newsstand- (온라인 방송의 뉴스기사 유형에 대한 분석 -네이버 뉴스스탠드의 방송사 홈페이지를 중심으로-)

  • Park, Kwang Soon
    • Journal of Digital Convergence
    • /
    • v.19 no.3
    • /
    • pp.177-185
    • /
    • 2021
  • This paper aimed to grasp what the percentage in the types of news stories on the online broadcast is, which was conducted by analyzing the news stories of 9 broadcasting websites on the Naver newsstand. For the analysis, a total of 270 days' samples were selected, including 30 days per broadcast on 9 broadcasting websites. For a method of analysis, One-way ANOVA was used to examine the difference among broadcasting websites. The analysis was made centering with priorities given to the type of news stories by the composition of language, the type of genre as a standard of stories, and so on. As a result of analysis, all the programs in the off-line broadcast have been produced and transmitted as a video-typed story, but a half of those in on-line broadcast have been made up of the stories composed of photo and text. The online newspaper has been producing a new type of news' story using video-typed story or computer graphic while the online broadcast has actively been utilizing stories composed of photos and text, which are types of newspaper's stories. From above-mentioned results, it can be understood that the boundary among media is getting more and more indistinct on the environment of online media, showing the phenomenon that the type of broadcast's stories is becoming old-fashioned.

A Study of the International News in the National and the Local Newspapers (전국지와 지역지의 국제뉴스 보도에 대한 미디어 경제학적 고찰)

  • Ku, Gyo-Tae;Kim, Sei-Chull
    • Korean journal of communication and information
    • /
    • v.27
    • /
    • pp.7-34
    • /
    • 2004
  • This study tried to examine the internal mechanism in selecting, sorting, and producing international news coming from foreign country. With a perspective of media economists, this study hypothesized a relationship between the type of newspaper(regional vs. national), based on news markets, and the type of international news(sensational vs. public affairs), between the type of country(the First vs. Third world) and the type of news, and between the type of news market and the type of nation). The results indicated a signifiant relationship between the type of press and the type of news, with some internal inconsistency on the number of article and the amount of coverage. Further, this study revealed there was still an imbalance between the First and the Third country in terms of rho quality and quantity of international news. Also a significant relationship was found between the type of newspaper and the type of country.

  • PDF

An Analysis of the Contents and Make-up of the Page in a News Story of the Internet Newspaper -focusing on Naver, Daum, Nate, Yahoo- (인터넷신문의 뉴스기사 페이지 구성과 콘텐츠에 대한 분석 -네이버, 다음, 네이트, 야후를 중심으로-)

  • Park, Kwang-Soon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.15 no.3
    • /
    • pp.1345-1354
    • /
    • 2014
  • This paper has analyzed how the format of the text page and the contents of space surrounding the text in the news stories of the portal sites are made-up. The result of analysis showed that the formats of the text page in Naver news story were more intricate than those of Daum, Nate and Yahoo. Also, Naver was higher in the number of advertising, the type of advertising, the entertainment contents, and various types of contents than other three portals. Especially, the percentage of new story related to entertainers was the highest. It was the portal site Daum that advertised the news story most of all in its text page. In contrast, it was portal site Yahoo that inserted the advertisements least of all. But from the whole sides, it was found that the formats and contents of the text page of the news story in these three portal sites have similarly been made-up. Consequently speaking, for the serviceability of use in news story, it can be evaluated that the news service method in portal sites is higher than that in press dot coms.

Frame Analysis of Political News in Social Media: Focus on the keyword, "presidential election" in Wikitree (소셜 미디어 정치 뉴스 프레임 분석: 위키트리 '대통령선거' 키워드를 중심으로)

  • Lee, Hyun-suk
    • Journal of Digital Convergence
    • /
    • v.15 no.2
    • /
    • pp.309-318
    • /
    • 2017
  • This study is for analyzing the tone, the frame and the characteristics of political news in social media. Social news media is not same as old media in sharing news freely by SNS like tweeter, facebook and reporting, editing by anyone using SNS with various opinions. With Content analysis, sampling 419 cases from 'Wikitree' by the keyword, 'presidential election', all the full text analysed each how is social media making public opinion differently and which frame is using in. As the result, the social media has different tone, frame, and characteristic due to the reported figure, type of report, information source, attitude to the government, specifically shows a lack of in-depth report and distinct soft-journalism just same as old media's. Because the tone of social news media is not probable, specific but improbable, vague, using the irrational, strategic and episodic frame mainly.

Analysis of Emotions in Broadcast News Using Convolutional Neural Networks (CNN을 활용한 방송 뉴스의 감정 분석)

  • Nam, Youngja
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.24 no.8
    • /
    • pp.1064-1070
    • /
    • 2020
  • In Korea, video-based news broadcasters are primarily classified into terrestrial broadcasters, general programming cable broadcasters and YouTube broadcasters. Recently, news broadcasters get subjective while targeting the desired specific audience. This violates normative expectations of impartiality and neutrality on journalism from its audience. This phenomenon may have a negative impact on audience perceptions of issues. This study examined whether broadcast news reporting conveys emotions and if so, how news broadcasters differ according to emotion type. Emotion types were classified into neutrality, happiness, sadness and anger using a convolutional neural network which is a class of deep neural networks. Results showed that news anchors or reporters tend to express their emotions during TV broadcasts regardless of broadcast systems. This study provides the first quantative investigation of emotions in broadcasting news. In addition, this study is the first deep learning-based approach to emotion analysis of broadcasting news.

Overlapping-based Smart Advertisement Technique for Mobile News Articles (모바일 뉴스 기사를 위한 중첩 기반의 스마트 광고 기법)

  • Rijayanti, Rita;Hwang, Mintae
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.24 no.8
    • /
    • pp.1015-1021
    • /
    • 2020
  • Mobile news users want news articles without advertising, meanwhile the news providers require advertisement displays in several types to attain advertising revenue. In this paper, we classified the types of advertisements on mobile news articles into fixed article type which is fixed on some areas of articles, fixed screen type which is fixed on mobile screens, and a combination type of them. In addition, we proposed a smart solution based on overlapping method which effectively organize advertisements to not distract the readers. The proposed method is similar to fixed article type and overlapping technique of advertisements on news article's photo or virtual area. The performance evaluation result shows that the proposed method provides more spaces for news articles effectively than the existing methods. Although only some areas of advertisements may be blocked according to the number or size of advertisements, the effect is not critical.