• Title/Summary/Keyword: internet news

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The Differences in Factors Influencing Portal News and News Site Application Usages on Smartphones: Focusing on Political Discussion Networks, News Media Use and News Genre Consumption

  • Lee, Hyunjoo;Ahn, Jungah
    • International Journal of Contents
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    • v.13 no.1
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    • pp.1-8
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    • 2017
  • The study aims to reveal the differences in the factors influencing portal news and news site application usages on smartphones in regard to political discussion networks, news use across multiple media platforms and news genre consumption. The results demonstrate that those factors affected both types of application usages in a different manner when controlling for demographics. The more participants conversed politics with homogeneous networks, the more they used portal news on smartphones. Conversely, the more political discussion with heterogeneous networks, the more they used news site application on smartphones. The more frequently Internet and mobile phone were employed for news source and the more soft news genre was consumed, the more the portal news application was used. However, the more frequently traditional and social media were employed for news source and the more hard news consumed, the more news site application was used. The findings imply that portal news application users may increase their likelihood of soft news consumption using Internet and mobile phones for political discussion with close social relations, while news site application users may increase their likelihood of hard news consumption using traditional and social media for political discussion with distant social relations.

A Study on the redesign Oh my News article metadata (오마이뉴스 기사 메타데이터 재설계방안에 관한 연구)

  • Jeong, Seong-Suk
    • The Korean Journal of Archival Studies
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    • no.34
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    • pp.107-163
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    • 2012
  • The share of the internet has grown significantly in terms of usage and level of influence. Among the internet media, OhmyNews is considered a alternative media representing Korea's independent internet news, and a typical example displaying characteristics of the internet news. The processing step can be divided as five stage, with recorded information and applicable technical element extractable from each stage. In this thesis paper, we have analyzed domestic and overseas metadata standard examples to devise metadata design plans. Items to be focused when redesigning metadata based on domestic and foreign case studies are as follows: First, user access should be convenient; second, connection with related information should be considered; third, accumulation of production, management, usage, storage, and action history should be considered; and fourth, the design should allow higher utilization of contents. In depth researches over internet media are already being carried out in external academic disciplines including the media information studies, information and communication studies, and communications studies. We expect that it will also be necessary to consider such researches over the internet media for mass media record management research going forward.

A Study on the Successful Internet Business Model for Internet Newspapers (성공적인 인터넷 신문의 비즈니스 모델에 관한 연구)

  • 권경륜;김승윤;이재범
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2000.10a
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    • pp.239-242
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    • 2000
  • Newspapers on the Internet, so called Internet Newspapers, have appeared since 1995 in Korea and have provided the news contents for free. So the most of the revenues come from internet advertising. That business model has not become so profitable. Therefore, internet newspapers are forced to find better and stable paths to profitability. This paper provides a news contents-based integrated business model and the case study using two cases supports that business model

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Political Information Filtering on Online News Comment (정보 중립성 확보를 위한 인터넷 뉴스 댓글의 정치성향 분석)

  • Choi, Hyebong;Kim, Jaehong;Lee, Jihyun;Lee, Mingu
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.575-582
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    • 2020
  • We proposes a method to estimate political preference of users who write comments on internet news. We collected and analyzed a massive amount of new comment data from internet news to extract features that effectively characterizes political preference of users. We expect that it helps user to obtain unbiased information from internet news and online discussion by providing estimated political stance of news comment writer. Through comprehensive tests we prove the effectiveness of two proposed methods, lexicon-based algorithm and similarity-based algorithm.

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.

Algorithm Design to Judge Fake News based on Bigdata and Artificial Intelligence

  • Kang, Jangmook;Lee, Sangwon
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.2
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    • pp.50-58
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    • 2019
  • The clear and specific objective of this study is to design a false news discriminator algorithm for news articles transmitted on a text-based basis and an architecture that builds it into a system (H/W configuration with Hadoop-based in-memory technology, Deep Learning S/W design for bigdata and SNS linkage). Based on learning data on actual news, the government will submit advanced "fake news" test data as a result and complete theoretical research based on it. The need for research proposed by this study is social cost paid by rumors (including malicious comments) and rumors (written false news) due to the flood of fake news, false reports, rumors and stabbings, among other social challenges. In addition, fake news can distort normal communication channels, undermine human mutual trust, and reduce social capital at the same time. The final purpose of the study is to upgrade the study to a topic that is difficult to distinguish between false and exaggerated, fake and hypocrisy, sincere and false, fraud and error, truth and false.

Implementation of Usenet News Filtering Agent using Kohonen Network (코호넨 신경망을 사용한 유즈넷 뉴스 필터링 에이전트 구현)

  • 진승훈;김종완;이승아;김영순;김병만
    • Journal of Korea Society of Industrial Information Systems
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    • v.7 no.5
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    • pp.21-28
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    • 2002
  • With the proliferation of internet and an increase in internet users, several kinds of vast information are provided to users on the internet. It is increasing in the need of personalization service by filtering user preferred news among various news documents provided through several news servers.. In this paper, we implemented a filtering agent system to meet to demand for personalized news service. In the proposed system, Kohonen network is used to train keywords provided by users and to classify news groups. Resulting from that, the personalized new service is achieved. After we trained and tested the filtering agent, we could provide users news groups with their intention.

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A Prediction of Stock Price Through the Big-data Analysis (인터넷 뉴스 빅데이터를 활용한 기업 주가지수 예측)

  • Yu, Ji Don;Lee, Ik Sun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.154-161
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    • 2018
  • This study conducted to predict the stock market prices based on the assumption that internet news articles might have an impact and effect on the rise and fall of stock market prices. The internet news articles were tested to evaluate the accuracy by comparing predicted values of the actual stock index and the forecasting models of the companies. This paper collected stock news from the internet, and analyzed and identified the relationship with the stock price index. Since the internet news contents consist mainly of unstructured texts, this study used text mining technique and multiple regression analysis technique to analyze news articles. A company H as a representative automobile manufacturing company was selected, and prediction models for the stock price index of company H was presented. Thus two prediction models for forecasting the upturn and decline of H stock index is derived and presented. Among the two prediction models, the error value of the prediction model (1) is low, and so the prediction performance of the model (1) is relatively better than that of the prediction model (2). As the further research, if the contents of this study are supplemented by real artificial intelligent investment decision system and applied to real investment, more practical research results will be able to be developed.

A Study on the Co-orientation of Internet Portal News Providers and Users (포털뉴스 제공자와 이용자간 상호지향성 연구)

  • Park, Sung-Hee;Park, Su-Mi
    • Korean journal of communication and information
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    • v.30
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    • pp.143-174
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    • 2005
  • This study aims at applying Chaffee & McLeod's co-orientation model to Internet portal news providers and users to find out their mutual understanding toward various features of online news. Included in those features are interactivity, expansion of user role, larger choices(user characteristics), real time update of news, limitless quantity, contextualized contents through hypertext, data base service, and multimedia contents(contents characteristics). To test the level of agreement, accuracy and congruency between the parties, a survey was conducted among 105 portal news providers from 11 online news media, and 105 portal news users between ages 20 and 40. The result indicated that both portal news providers and users showed agreement for user characteristics, but by and large displayed either ignorance or partial congruency toward contents characteristics. Communication between portal news providers and users are thus exported to increase until it reaches the point where the internet's newly born identity as a news medium gets finally stabilized.

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An exploratory study on the factors influencing credibility of television news and portal news

  • Najin Jun
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.31-43
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    • 2023
  • News credibility is on a decline for many democratic countries. Among the countries, South Korea is currently witnessing one of the steepest declining curves. Since people obtain news from various media, for example, television and portals, news credibility can be measured for each of the media separately. Most often, television news credibility is much higher than portal news credibility because people tend to trust traditional media more than online ones. To understand the discrepancy between news credibility of the two media in specific relation to South Koreans' everyday news use and overall news credibility evaluation, this exploratory study examined how the factors that influence television news credibility and portal news credibility differ from each other by examining the relations of news credibility of the two media to credibility of news I use and of news in general. Drawing from previous research on partisan news use, it assumed that normative beliefs for television as a traditional medium work for television news credibility in the similar way as the mechanisms of selective exposure and bias perception do. It also assumed that the experiences dimension of news trust works for credibility of portal news and of news in general similarly. To verify these assumptions, a regression analysis was conducted from a sample of 58,936 South Koreans collected in 2022. As assumed, results revealed a greater relation between credibility of television news and of news I use, and between credibility of portal news and of news in general respectively. The findings suggest that measurement of credibility should be revised in the way that reflects media characteristics and the differing expectations held by news users.