• Title/Summary/Keyword: internet news

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Reflections on Application of VR Technology in Field of News Media

  • Chen Xi;Jeanhun Chung
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.196-201
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    • 2023
  • In recent years, virtual reality (VR) technology has been widely used in many industrial fields, especially in the fields of medical treatment, games, film and television, to improve the interaction between medical teaching and practical treatment. On the gaming side, the production of virtual reality gaming screens and scenes became increasingly popular, greatly expanding the form of the visual experience. But VR is no longer confined to the health care, education and entertainment industries. During this time, the news media industry has also begun to integrate virtual reality into interviews and user interactions. This study aims to analyze the development of VR technology from the perspectives of immersive VR news experience, real reporting, and prospects, and analyze and think about the interactive participation of media users, the transformation of traditional media, and the upgrading of practitioners' roles.

News Article Identification Methods in Natural Language Processing on Artificial Intelligence & Bigdata

  • Kang, Jangmook;Lee, Sangwon
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.345-351
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    • 2021
  • This study is designed to determine how to identify misleading news articles based on natural language processing on Artificial Intelligence & Bigdata. A misleading news discrimination system and method on natural language processing is initiated according to an embodiment of this study. The natural language processing-based misleading news identification system, which monitors the misleading vocabulary database, Internet news articles, collects misleading news articles, extracts them from the titles of the collected misleading news articles, and stores them in the misleading vocabulary database. Therefore, the use of the misleading news article identification system and methods in this study does not take much time to judge because only relatively short news titles are morphed analyzed, and the use of a misleading vocabulary database provides an effect on identifying misleading articles that attract readers with exaggerated or suggestive phrases. For the aim of our study, we propose news article identification methods in natural language processing on Artificial Intelligence & Bigdata.

A Study on the Impact of Economic Research Institutes in Korea using Citation Analysis of the Internet News (인터넷 뉴스 인용을 이용한 국내 경제연구기관 영향력에 관한 연구)

  • Kim, Hae-Min;Choi, Yoon-Kyung
    • Journal of Information Management
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    • v.41 no.2
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    • pp.161-181
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    • 2010
  • The purpose of this study is to investigate citation behavior in internet news to research papers of 10 domestic economic institutes and to suggest institutes' impact quantitatively with h-index and various modified indices. Content analysis of 878 news articles that collected from NAVER news site was performed. First, as citing behavior, cited numbers of research papers, preferred news media, speed, source entry accuracy, centrality, subject section, and length by the institutes were examined. Next, impact indices for institutes were calculated by cited numbers using h-index, g-index, $h_s$-index, and $g_s$-index, and the ranking of 10 research institutes were determined by each impact indices. As a result, institutes belonged to upper ranks showed little variation among the different indices. On the other hand, institutes belonged to middle and lower ranks showed variations in impact indices and experts' survey.

When Do People Post a Comment to a News Story on the Internet?

  • Lee, Mina;Choi, Inhye;Yang, Seungchan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.1
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    • pp.434-445
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    • 2015
  • In reading news stories online, people are exposed to others' comments to a news story. In spite of popularity of comments to a news story online, the understanding of why and who posts a comment is still lacking. To complement scarcity and have a better understanding of comment-posting online, this study examined psychological factors which affect the likelihood of posting a comment to a news story online. In particular, three variables were considered: The first variable was communication efficacy, that is, an individual's belief about communication practices and systems, under the supposition that the people who have greater levels of communication efficacy are more likely to post a comment. The second variable was perception of public opinion, to test that when and if people judge their position of the issue as favored by the majority, they tend to post a comment. And finally, the tone of existing comments was included, to test if the tone of comments affects the willingness to post a comment. The results showed that firstly, people at a high level of communication efficacy are more likely to post a comment compared to people at the low level of communication efficacy. Secondly, the perception of public opinion partly influenced the willingness to post a comment. Especially, when people believe communication systems contribute to develop society and also when judged that their opinion is the majority's opinion, they are more likely to post a comment. Finally, the tone of the comments influenced the willingness to post a comment only on the condition that people are confident of the communication practice and are exposed to emotional comments.

Analyzing Online Fake Business News Communication and the Influence on Stock Price: A Real Case in Taiwan

  • Wang, Chih-Chien;Chiang, Cheng-Yu
    • Journal of Information Technology Applications and Management
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    • v.26 no.6
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    • pp.1-12
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    • 2019
  • On the Internet age, the news is generated and distributed not only by traditional news media, but also by a variety of online news media, news platforms, content websites/content farms, and social media. Since it is an easy task to create and distribute news, some of these news reports may contain fake or false facts. In the end, the cyberspace is full of fake or false messages. People may wonder if these fake news actually influence our decision making. In this paper, we discussed a real case of fake news. In this case, a Taiwanese company used some fake news, advertorial news, and news placement to manipulate or influence its stock price and trade volume. We collected all news for the case company during a period of four years and five months (from January 2013 to May 2017). We analyzed the relationship between published news and stock price. Based on the analysis results, we conclude that we should not ignore the influence of news placement and fake business news on the stock price.

Emergence of Social Networked Journalism Model: A Case Study of Social News Site, "wikitree" (소셜 네트워크 저널리즘 모델의 출현: 소셜 뉴스사이트, "위키트리" 사례연구)

  • Seol, Jinah
    • Journal of Internet Computing and Services
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    • v.16 no.1
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    • pp.83-90
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    • 2015
  • This paper examines the rising value of social networked journalism and analyzes the case of a social news site based on the theory of networked journalism. Social networked journalism allows the public to be involved in every aspect of journalism production through crowd-sourcing and interactivity. The networking effect with the public is driving journalism to transform into a more open, more networked and more responsive venue. "wikitree" is a social networking news service on which anybody can write news and disseminate it via Facebook and Twitter. It is operated as an open sourced program which incorporates "Google Translate" to automatically convert all its content, enabling any global citizen with an Internet access to contribute news production and share either their own creative contents or generated contents from other sources. Since its inception, "wikitree global" site has been expanding its coverage rapidly with access points arising from 160 countries. Analyzing its international coverage by country and by news category as well as by the unique visit numbers via SNS, the results of the case study imply that networking with the global public can enhance news traffic to the social news site as well as to specific news items. The results also suggest that the utilization of Twitter and Facebook in social networked journalism can break the boundary between local and global public by extending news-gathering ability while growing audience's interest in the site, and engender a feasible business model for a local online journalism.

An Exploratory Study on the 2018 North Korea-U.S. Summit News and Singapore's Place Branding

  • Seol, Jinah
    • Journal of Internet Computing and Services
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    • v.21 no.1
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    • pp.147-157
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    • 2020
  • The purpose of this paper is to examine how mainstream international media cover a major political event like the 2018 North Korea-U.S. Summit and how place branding effect is manifested on the Internet. A quantitative content analysis was conducted. A total of 1,990 relevant Internet news stories were collected from May 9 to June 17, 2018 and the types of media mentions Singapore as country and brand received were analyzed. As expected, Singapore garnered worldwide media coverage which in turn helped promote the island-nation's brand. International media reported on Singapore as a Summit location while also highlighting it as an important and attractive, cultural, historical destination. The study's findings indicate that global broadcasters such as CNN and BBC played the biggest role during the Summit in disseminating images of Singapore and landmarks as attractive places. Finally, the visual aspect of the event coverage also served as a formidable marketing instrument in bolstering the nation's brand.

Usenet News Filtering using Kohonen Network (코호넨 신경망을 사용한 유즈넷 뉴스 필터링T)

  • 진승훈;김종완;김병만
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.274-276
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    • 2002
  • With the proliferation of internet, it is increasingly needed to realize personalized news filtering service reflecting user's interest. In this Paper, we implement a filtering agent for Personalized news service. In the proposed system, Kohonen network for an unsupervised learning is used to train keywords provided by users and the personalization is achieved by using the trained neural network. After we trained and tested our filtering agent we could provide users news groups considering their interests.

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Mobile News Engagement in a South Asian Context: Roles of Demographics, Motivations, and News Type Preferences in News Exposure and Participation in Bangladesh

  • Alam, Md. Asraful;Kim, Kyun Soo
    • International Journal of Contents
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    • v.17 no.2
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    • pp.48-64
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    • 2021
  • This study examines mobile news engagement-conceptualized as news exposure and participation-in the context of South Asia which has experienced tremendous growth in mobile-Internet users without receiving much attention from communication scholars. Along with demographic characteristics, this research incorporates motivational factors (grounded on uses and gratifications-U&G-approach) and news type preferences to explore their roles in mobile news engagement among urban citizens in Bangladesh. Results of a self-administered survey (N = 504) revealed that participants' mobile news engagement partially varied depending on their demographic differences, particularly gender, age, and education. Our study also unveiled that individuals' motivation for sharing information seemed to be a strong predictor of mobile news exposure and participation. In addition, Bangladeshi respondents were more likely to be interested in the hard news in terms of expressing views on news comments and sharing news via mobile platform. Conversely, preference for soft type news had a significant influence on news exposure through mobile browsing. This study provides insights into the understanding of global phenomena of mobile news engagement by unpacking the case of Bangladesh where mobile news usage seems to be an evolving state.

A Study of the Impact of Portal News Use on Traditional Media: among College Students (포털 뉴스 이용이 전통 미디어 이용에 미치는 영향에 관한 연구: 대학생 집단을 중심으로)

  • Won, Suk-Kyoung;Kim, Dae-Kyung;Lee, Bum-Soo
    • Korean journal of communication and information
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    • v.38
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    • pp.40-72
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    • 2007
  • Amid the rapid growth in use of portal news, this study examined whether portal news would substitute traditional news media, in particular newspapers and television news. To answer the research question, this study attempted to investigate how the decrease in use of traditional news media was associated with online news use, reliance on, and motivations for portal news. First, this study found that there was a negative and significant relationship between the Internet use and television news viewing, suggesting that those who are more likely to use the Internet are less likely to watch television news programs. Also, portal news was negatively associated with time spent with newspaper reading, while it was not related to television news viewing. Second, this study found that convenience/information-seeking needs appeared as the major motivations for using portal news, which were negatively and significantly associated with the decreased time spent with watching television news programs. In other words, those who used portal news for convenience/information-seeking needs are less likely to watch television news programs, which may indicate that portal news could be a substitute for television news in terms of convenience/information-seeking motivations. In addition, the result of this study showed that there was a complementary relationship between portal news and newspapers in terms of surveillance needs. Those findings could be explained by the concept of "functional similarity" in the process of media substitution. Based on the findings, implications of this study were discussed.

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