• 제목/요약/키워드: online news

검색결과 324건 처리시간 0.031초

A Study on the Transference of Headlines and Types of Preferred Headlines in Offline and Online Newspapers

  • Kim, Man-Ki;Kang, Hyun-Jig
    • 디지털융복합연구
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    • 제9권1호
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    • pp.89-106
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    • 2011
  • With the development of the Internet, the media market is experiencing rapid change. The traditional form of offline newspaper markets, which has created the mainstream news delivery market, have been losing large amounts of power due to the emergence of online media. On the other hand, online media armed with its ability to post breaking news almost as it occurs has increased its influence and popularity at a rapid speed. However, since the exposure time and readership of online newspapers are less than their offline counterparts online media has a high dependence on sensational titles and somewhat exaggerating headlines rather than the objective and recapitulative headlines which are preferred. This paper will examine the function and significance of headlines, and conduct a comparative analysis on contents and forms of the headlines in offline newspaper and online newspaper in order to identify the characteristics of each newspaper. Through comparisons, it examines the types of headlines and the transference of headlines. In addition, it examines the differences in recognition of copy editors according to media in determining the headline, and it illuminates which type of headlines is preferred in order to instigate readers to read online newspapers. The analysis results of title-transferring cases in offline newspaper and online newspapers are that offline newspapers try to convey the contents accurately by making use of an information-transferring headline, while attention-attracting headline or subject-hiding headlines tend to be used for attracting the eye of readers. In addition, analysis results of headlines that are put on the top with a click counts in online newspapers are that attention-attracting headlines are the majority, while subject-hiding headlines that are hardly used in offline newspapers, are well-used in online newspapers. In an interview with copy editors, they responded that offline editors focus on the fact-transference in determining the title, while online editors put the weight on immediacy in the delivery of news and the function of guiding readers.

온라인 뉴스 사이트에서의 일반댓글과 소셜댓글의 비교분석 (A Comparative Analysis between General Comments and Social Comments on an Online News Site)

  • 김소담;양성병
    • 한국콘텐츠학회논문지
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    • 제15권4호
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    • pp.391-406
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    • 2015
  • 온라인 뉴스에서 개인의 참여가 활성화 되면서 댓글의 중요성이 부각되고 있다. 최근엔 개인의 SNS(social networking site) 계정을 이용하여 댓글을 게재할 수 있는 소셜댓글 서비스가 활성화 되고 있다. 본 연구에서는 실제 온라인 뉴스 댓글 현황 데이터를 이용하여 (1) 댓글의 일반적 특성요소 중 일반댓글과 소셜댓글이 차이점을 보일 가능성이 있는 요소를 도출한 후, (2) 일반댓글에 비해 소셜댓글이 각 특성요소별로 어떻게 다른지 비교 분석하고, 마지막으로 (3) 소셜댓글 이용 업체별로 각 특성요소가 어떻게 달라지는지를 실증 분석해보았다. 이를 위해 기존문헌 조사 및 전문가 인터뷰를 진행하여 여섯 가지 특성요소를 도출하였다. 다음으로 SPSS Statistics의 t-test의 분석 방법을 사용하여, 소셜댓글과 일반댓글이 모든 요소에서 유의한 차이를 보임을 확인하였고, ANOVA와 Duncan test 결과 트위터와 페이스북 그룹 간 차이가 유의함을 확인하였다. 본 연구를 통해 소셜댓글의 실제적인 가치를 명확히 파악할 수 있을 뿐만 아니라, 소셜댓글을 이용한 악성댓글 문제 해결에 실마리를 제공하고, 개인, 기업, 정부기관 등을 주체로 다른 분야의 적용가능성도 살펴볼 수 있을 것으로 기대한다.

텍스트마이닝을 통한 댓글의 공감도 및 비공감도에 영향을 미치는 댓글의 특성 연구 (Applying Text Mining to Identify Factors Which Affect Likes and Dislikes of Online News Comments)

  • 김정훈;송영은;진윤선;권오병
    • 한국IT서비스학회지
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    • 제14권2호
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    • pp.159-176
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    • 2015
  • As a public medium and one of the big data sources that is accumulated informally and real time, online news comments or replies are considered a significant resource to understand mentalities of article readers. The comments are also being regarded as an important medium of WOM (Word of Mouse) about products, services or the enterprises. If the diffusing effect of the comments is referred to as the degrees of agreement and disagreement from an angle of WOM, figuring out which characteristics of the comments would influence the agreements or the disagreements to the comments in very early stage would be very worthwhile to establish a comment-based eWOM (electronic WOM) strategy. However, investigating the effects of the characteristics of the comments on eWOM effect has been rarely studied. According to this angle, this study aims to conduct an empirical analysis which understands the characteristics of comments that affect the numbers of agreement and disagreement, as eWOM performance, to particular news articles which address a specific product, service or enterprise per se. While extant literature has focused on the quantitative attributes of the comments which are collected by manually, this paper used text mining techniques to acquire the qualitative attributes of the comments in an automatic and cost effective manner.

블로그와 온라인 뉴스가 영화흥행에 미치는 영향에 대한 실증연구 : 영화 개봉 전·후의 구전효과를 중심으로 (An Empirical Study on the Impact of Blogs and Online News on the Success of Film : Focusing on Before and After Film Release)

  • 임현정;양희동;백현미
    • Journal of Information Technology Applications and Management
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    • 제21권4호
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    • pp.157-171
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    • 2014
  • As electronic word of mouth plays an important role in purchase behavior among consumers, the number of studies on the impact of electronic word of mouth is rapidly increasing. Nevertheless, it is difficult to discover comparative studies on the mass media which had a great impact on consumer's purchase behavior before the impact of electronic word of mouth becomes greater versus the social media where electronic words of mouth are created and distributed. It is considered that it seems to be necessary to find an appropriate mutual supplement point between the media designed for a successful marketing by comparing and analyzing the existing mass media versus the social media, major media for electronic word of mouth. Therefore, this study aims to compare and analyze the impact of comments on movie revenue in the representative forms of mass media such as online news and social media blogs. In particular, this study also considers an appropriate media for promoting movies by period by comparing and analyzing the two media before and after film release. For analysis, this study collects the information on the number of comments on online news and blogs in 70 Korean movies released in 2011 and 2012 from five weeks before film release to eight weeks after film release on a daily basis via Naver. This study also collects the information on the movie revenue using the statistical data of movie industry from Korean Film Commission. As a result of empirical data analysis, it is found that the two media showed no difference in movie revenue before film release, but after film release, the impact of blogs was more significant than that of online news.

온라인 뉴스사이트의 광고 선정성 연구: 인터넷과 모바일앱을 중심으로 (A study on Sensationalism of Advertisements on Online News Sites: Based on the Internet and Mobile Applications)

  • 이희복;신명희
    • 한국콘텐츠학회논문지
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    • 제15권4호
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    • pp.469-478
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    • 2015
  • 온라인광고시장의 급성장과 더불어 여러 문제점이 지적되고 있는 가운데, 허위 과장광고 및 선정적 광고가 증가하고 있다. 특히 온라인광고의 선정적 소구는 사회적인 합의가 이뤄지지 않은 상태에서 심의의 사각지대에 놓여 있는데, 이러한 이유로 온라인광고에 대한 규제와 심의시스템의 정비가 요구되고 있다. 본 연구는 국내 32개 온라인 뉴스서비스를 대상으로 2,009개 광고에 대한 시각적 선정성 및 언어적 선정성에 대한 내용분석을 실시하였다. 연구결과, 온라인 뉴스서비스의 선정적 광고는 심각한 수준이었다. 이에 연구결과를 바탕으로 온라인광고 심의와 규제의 필요성을 제기하고 바람직한 광고심의의 방향을 모색하고자 하였다. 향후 광고주, 광고회사, 미디어렙, 매체사 등 보다 다양한 온라인광고산업 구성원의 의견을 모아 실효적인 광고심의 모델의 구축이 필요하다.

Urdu News Classification using Application of Machine Learning Algorithms on News Headline

  • Khan, Muhammad Badruddin
    • International Journal of Computer Science & Network Security
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    • 제21권2호
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    • pp.229-237
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    • 2021
  • Our modern 'information-hungry' age demands delivery of information at unprecedented fast rates. Timely delivery of noteworthy information about recent events can help people from different segments of life in number of ways. As world has become global village, the flow of news in terms of volume and speed demands involvement of machines to help humans to handle the enormous data. News are presented to public in forms of video, audio, image and text. News text available on internet is a source of knowledge for billions of internet users. Urdu language is spoken and understood by millions of people from Indian subcontinent. Availability of online Urdu news enable this branch of humanity to improve their understandings of the world and make their decisions. This paper uses available online Urdu news data to train machines to automatically categorize provided news. Various machine learning algorithms were used on news headline for training purpose and the results demonstrate that Bernoulli Naïve Bayes (Bernoulli NB) and Multinomial Naïve Bayes (Multinomial NB) algorithm outperformed other algorithms in terms of all performance parameters. The maximum level of accuracy achieved for the dataset was 94.278% by multinomial NB classifier followed by Bernoulli NB classifier with accuracy of 94.274% when Urdu stop words were removed from dataset. The results suggest that short text of headlines of news can be used as an input for text categorization process.

Emerging Gender Issues in Korean Online Media: A Temporal Semantic Network Analysis Approach

  • Lee, Young-Joo;Park, Ji-Young
    • Journal of Contemporary Eastern Asia
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    • 제18권2호
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    • pp.118-141
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    • 2019
  • In South Korea, as awareness of gender equality increased since the 1990s, policies for gender equality and social awareness of equality have been established. Until recently, however, the gap between men and women in social and economic activities has not reached the globally desired level and led to social conflict throughout the country. In this study, we analyze the content of online news comments to understand the public perception of gender equality and the details of gender conflict and to grasp the emergence and diffusion process of emerging issues on gender equality. We collected text data from the online news that included the word 'gender equality' posted from January 2012 to June 2017 and also collected comments on each selected news item. Through text mining and the temporal semantic network analysis, we tracked the changes in discourse on gender equality and conflict. Results revealed that gender conflicts are increasing in the online media, and the focus of conflict is shifting from 'position and role inequality' to 'opportunity inequality'.

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

  • 박광순
    • 한국콘텐츠학회논문지
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    • 제10권11호
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    • pp.329-340
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    • 2010
  • 본 연구는 포털사이트와 언론사닷컴 뉴스기사 본문의 하이퍼링크에 대한 분석을 통해 온라인 저널리즘의 뉴스서비스에 대한 특징을 파악하기 위해 실시되었다. 분석결과 뉴스기사 본문에 하이퍼링크 서비스가 제공된 뉴스기사 수는 언론사닷컴에 비해 포털사이트가 더 많았다. 그러나 하이퍼링크 서비스가 제공된 뉴스기사에서의 하이퍼링크 수는 포털사이트에 비해 언론사닷컴이 더 많았다. 포털사이트인 다음과 야후의 비교에서는 다음이 야후에 비해 하이퍼링크 서비스가 제공된 뉴스기사의 수와 1건의 기사에 제공된 하이퍼링크 수도 더 많았다. 하지만 하이퍼링크 서비스가 제공된 뉴스기사에서의 하이퍼링크 수는 야후가 더 많았다. 온라인 저널리즘의 뉴스기사 본문에 하이퍼링크 된 콘텐츠는 정보유형과 광고유형으로 구성되었다. 포털사이트 뉴스기사 본문에 하이퍼링크 된 모든 콘텐츠는 정보유형이었다. 반변 언론사닷컴 뉴스기사 본문에 하이퍼링크 된 콘텐츠는 약 92%가 광고유형이었다. 정보유형 콘텐츠는 뉴스기사에 사용된 용어의 의미와 관련된 것이지만, 광고유형의 콘텐츠는 뉴스기사의 내용과 관련이 없는 것들로 구성되었다.

지상파 방송사 동영상 뉴스의 채널 브랜드에 관한 연구 : SBS 스브스뉴스와 MBC 14F를 중심으로 (The Channel Brand of Terrestrial Television Video News : Focusing on SBS's Subusu New sand MBC's 14F)

  • 윤홍근
    • 디지털산업정보학회논문지
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    • 제20권1호
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    • pp.133-147
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    • 2024
  • In this study, we examine the components and characteristics of channel brands, the renewal process of channel brands, and the competitiveness of SBS Subusu News and MBC 14F, online channels of Korea's leading terrestrial broadcasting company. We conducted in-depth interviews with staffs YouTube news channels such as Subusu News and 14F. First, examining the brand components and characteristics of SBS's Subusu News and MBC's 14F vertical channel, Subs News maintained its direction through the renewal of the logo type, graphic characterization, emoticon production, and campaign design production. 14F focused on brand renewal of the logo type and modification of thumbnail design to reveal the identity of the channel brand. Subusu News and 14F have achieved success through a spin-off approach that considers content relevance, expanding their brand extension. As a result of analyzing the competitiveness of the channel brand, Subusu News maintained its identity as a combination of B-class sensibility and journalism, while 14F positioned itself as a channel that delivers useful information content.

Soccer Transfer Gossip Analysis using Keyword Ranking

  • Sinn, Seung-Woo;Kang, Dae-Ki
    • International Journal of Advanced Culture Technology
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    • 제5권4호
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    • pp.51-56
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    • 2017
  • In every Summer and Winter, there open soccer transfer markets. And these markets draw huge attention from soccer fans and other ordinary people all around world. This phenomenon might indicate great interest of people from the amount of news, blog articles, public messages and replies from online community and forums about popular players and clubs of many leagues. Especially, transfer markets in the year 2017 have generated many gossips than before. In this research, we performed keyword analysis and ranking of news and messages collected and analyzed from online news sites and online forum sites, in order to investigate who and what clubs are mainly discussed.