• Title/Summary/Keyword: online news

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The Influence of Portal Site News Services on Online Journalism in Korea: The Structural Transformation or the Power Change in the News Distribution (포털 뉴스서비스와 온라인 저널리즘의 지형: 뉴스 유통의 구조 변동 혹은 권력 변화)

  • Kim, Wi-Geun
    • Korean journal of communication and information
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    • v.66
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    • pp.5-27
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    • 2014
  • The past, present, and future of online journalism in Korea are inextricably bound up with the portal site news services. In traditional journalism, finite news media took hold on news consumption completely because of performing news production and distribution simultaneously. Since then, in the age of multi-media and multi-channel, the audience selection has become more important because of greatly increasing news media and then exploding news production. In online journalism, the news distribution have emerged as the most important field because of the intensive consuming the portal site news services making use of various news easier, the characteristic of news consumption focusing on not news media brands but news media contents, etc. Therefore, the news present landscape of Korean journalism oriented news distribution has been completed by that the portal site news services became the symbol of online journalism. That the portal site news services performing only news distribution have more influence than the paper based online newspapers and Internet based online newspapers producing news means the change of media power. By this, a conflict between news media and portal site news services appears at all times.

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A New Online News Service Model, based on NewsML and UCI Systems (NewsML과 UCI를 적용한 뉴스 콘텐츠의 온라인 유통모델)

  • Park, Chang-Shin;Kil, Duke
    • 한국IT서비스학회:학술대회논문집
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    • 2007.11a
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    • pp.641-645
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    • 2007
  • News contents, produced for paper readers, are more and more being used online instead of offline. Internet sites, expecially portals(naver, daum, nate etc.) are dominant marketplaces, where news are exchanged and values are added. So, establishing a new online news service system, which can satisfy news provider(copyright owner) and internet service provider together, is a necessary task under current online-dominant news service environment. UCI(Universal & Ubiquitous Content Identifier) and IPTC NewsML(News Mark-up Language) are considered as useful standards to compromise protection of news-copyright and enhancement of online use of news contents. This study is based on a real case of 'NewsBank' in korea, We expect that this study can show an inspiration to obtain two contradictory goals of copyright protection and free online use of copyright.

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Factors Influencing Subscribers' Voluntary Payment Behavior on an Online News Site: Focusing on the Role of Appreciation (온라인 뉴스 사이트에서 독자의 자발적 구독료 지불행위에 영향을 미치는 요인에 대한 연구: 공감의 역할을 중심으로)

  • Lee, Hyoung-Joo;Rhee, Hosung Timothy;Yang, Sung-Byung
    • Knowledge Management Research
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    • v.14 no.4
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    • pp.1-17
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    • 2013
  • As online communities proliferate, online news sites have received great attention in news media research. Although most of the online news sites provide contents for free, some have adopted the Pay-What-You-Want (PWYW) model by offering a voluntary payment option to the readers. In this study, we investigate the factors which influence subscribers' voluntary payment behavior on an online news site. Drawing upon both the Stimulus-Organism-Response (SOR) framework and the Elaboration Likelihood Model (ELM), we hypothesize that appreciation has a direct effect on the subscribers' voluntary payment behavior, whereas central factors (positive emotional content, cognitive content) and peripheral factors (news sharing, news article length) of the news articles have indirect impacts on voluntary payment behavior through the enhanced appreciation. Based on an empirical analysis of 172 news articles from the Korean online news site that adopted the PWYW pricing model (i.e., Ohmynews.com), we find that appreciation plays a critical role in voluntary payment behavior and that peripheral factors have significant impacts on appreciation. However, the impacts of central factors on appreciation are not found. By identifying influencing factors of subscribers' voluntary payment behavior on online news sites for the first time, this paper suggests a prospective alternative profit model for online news providers faced with fierce competition.

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Comparative Analysis of Mainstream O1line News Use with Alternative Online News Use -In the Aspens of the Users' Characteristics, the Attitude on Online News Sites, and Using Pattern.- (주류 인터넷 언론과 대안 인터넷 언론의 이용 비교 -이용집단의 특성, 이용자의 뉴스사이트에 대한 태도 뉴스 이용 패턴-)

  • Park, Sun-Hee
    • Korean journal of communication and information
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    • v.26
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    • pp.259-289
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    • 2004
  • In this study, the use of mainstream online news site and alternative online news site were compared in the aspects of users' characteristics, attitude on online news sites, and using pattern. A survey was conducted for 182 mainstream-only users, 46 alternative online news users, and 47 both sites users, Also, their traffic data of online news sites were analyzed during the 16th presidential election. As a result, it was found that both sites users had the highest political interest and the most progressive political position among the user groups. In the aspect of users' attitude, mainstream-only users were most positive to the mainstream online news site and both sires users were most positive and more involved in alternative online news site. But all user groups set higher credibility on alternative online news site than mainstream online news sire. In the comparison of user size, mainstream online news site has larger user size than alternative online site. However, the user royalty, such as time per person, pages per person, and visiting days per person, was lower than that of the latter. These results suggest thar small but differentiated news sires have royal users, and online news users be segmented according to news contents.

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An Analysis of the Comparative Importance of Heuristic Attributes Affecting Users' Voluntary Payment in Online News Content (자발적 독자구독료에 영향을 미치는 온라인 뉴스 콘텐츠의 휴리스틱 속성 간 상대적 중요도 분석)

  • Lee, Hyoung-Joo;Chung, Nuree;Yang, Sung-Byung
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.177-195
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    • 2017
  • Traditionally, news was consumed only through printed newspapers and broadcasting media, such as radio and television. However, the Internet has enabled people to consume news content online. Since most of online news content has been provided for free, it is not easy for news providers to charge the fixed subscription fee for online news content. Therefore, as an alternative strategy, some online news providers have tried to adopt the Pay-What-You-Want (PWYW) pricing model, which allows users (readers) to pay as much as they want after consuming news content. As this pricing model shows some possibility to grow and replace the unsuccessful monetization strategy of online news content, we therefore examined the comparative importance of seven heuristic attributes (i.e., article evaluation, article share, article comment, article information design, article length, writer SNS, and writer information) affecting readers' voluntary payment behavior through a conjoint analysis with 379 news articles collected from online news Website (i.e., Ohmynews.com) where the PWYW model has been working successfully. This study found that article share and article length are the most important factors which affect online news content users' voluntary payment. Finally, two major and eight minor propositions are suggested based on the findings of the study. This study would suggest guidelines for how to create online news content which induces much more voluntary payment.

Digital News Innovation and Online Readership: A Study of Subscribers Paying for Online News (언론사의 디지털 혁신과 구독자 되찾기: 온라인 뉴스의 유료이용 경험에 관한 연구)

  • Sun Ho Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1111-1117
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    • 2023
  • Recently, South Korean newspapers began trying to charge for online news. This study attempts to shed light on the factors that influence payment for online news by analyzing Korea Press Foundation's 2022 Media Audience Survey (N = 58,936). The results of this study showed a steady increase in past payment and paying intent for online news since 2020. Predictors of past payment for online news included gender, age, and education, and interest in political and social issues. News use through specific media (i.e., newspapers, magazines, portals, messengers, social media, video sites, and podcasts), as well as mobile applications and e-mail newsletters, were found to contribute to paid subscriptions. Based on the findings of the study, news organizations should prepare to offer differentiated news content through their own news platforms and establish concrete plans to build trust in news.

Social Media Fake News in India

  • Al-Zaman, Md. Sayeed
    • Asian Journal for Public Opinion Research
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    • v.9 no.1
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    • pp.25-47
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    • 2021
  • This study analyzes 419 fake news items published in India, a fake-news-prone country, to identify the major themes, content types, and sources of social media fake news. The results show that fake news shared on social media has six major themes: health, religion, politics, crime, entertainment, and miscellaneous; eight types of content: text, photo, audio, and video, text & photo, text & video, photo & video, and text & photo & video; and two main sources: online sources and the mainstream media. Health-related fake news is more common only during a health crisis, whereas fake news related to religion and politics seems more prevalent, emerging from online media. Text & photo and text & video have three-fourths of the total share of fake news, and most of them are from online media: online media is the main source of fake news on social media as well. On the other hand, mainstream media mostly produces political fake news. This study, presenting some novel findings that may help researchers to understand and policymakers to control fake news on social media, invites more academic investigations of religious and political fake news in India. Two important limitations of this study are related to the data source and data collection period, which may have an impact on the results.

An Analysis of the Comparative Importance of Systematic Attributes for Developing an Intelligent Online News Recommendation System: Focusing on the PWYW Payment Model (지능형 온라인 뉴스 추천시스템 개발을 위한 체계적 속성간 상대적 중요성 분석: PWYW 지불모델을 중심으로)

  • Lee, Hyoung-Joo;Chung, Nuree;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.75-100
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    • 2018
  • Mobile devices have become an important channel for news content usage in our daily life. However, online news content readers' resistance to online news monetization is more serious than other digital content businesses, such as webtoons, music sources, videos, and games. Since major portal sites distribute online news content free of charge to increase their traffics, customers have been accustomed to free news content; hence this makes online news providers more difficult to switch their policies on business models (i.e., monetization policy). As a result, most online news providers are highly dependent on the advertising business model, which can lead to increasing number of false, exaggerated, or sensational advertisements inside the news website to maximize their advertising revenue. To reduce this advertising dependencies, many online news providers had attempted to switch their 'free' readers to 'paid' users, but most of them failed. However, recently, some online news media have been successfully applying the Pay-What-You-Want (PWYW) payment model, which allows readers to voluntarily pay fees for their favorite news content. These successful cases shed some lights to the managers of online news content provider regarding that the PWYW model can serve as an alternative business model. In this study, therefore, we collected 379 online news articles from Ohmynews.com that has been successfully employing the PWYW model, and analyzed the comparative importance of systematic attributes of online news content on readers' voluntary payment. More specifically, we derived the six systematic attributes (i.e., Type of Article Title, Image Stimulation, Article Readability, Article Type, Dominant Emotion, and Article-Image Similarity) and three or four levels within each attribute based on previous studies. Then, we conducted content analysis to measure five attributes except Article Readability attribute, measured by Flesch readability score. Before conducting main content analysis, the face reliabilities of chosen attributes were measured by three doctoral level researchers with 37 sample articles, and inter-coder reliabilities of the three coders were verified. Then, the main content analysis was conducted for two months from March 2017 with 379 online news articles. All 379 articles were reviewed by the same three coders, and 65 articles that showed inconsistency among coders were excluded before employing conjoint analysis. Finally, we examined the comparative importance of those six systematic attributes (Study 1), and levels within each of the six attributes (Study 2) through conjoint analysis with 314 online news articles. From the results of conjoint analysis, we found that Article Readability, Article-Image Similarity, and Type of Article Title are the most significant factors affecting online news readers' voluntary payment. First, it can be interpreted that if the level of readability of an online news article is in line with the readers' level of readership, the readers will voluntarily pay more. Second, the similarity between the content of the article and the image within it enables the readers to increase the information acceptance and to transmit the message of the article more effectively. Third, readers expect that the article title would reveal the content of the article, and the expectation influences the understanding and satisfaction of the article. Therefore, it is necessary to write an article with an appropriate readability level, and use images and title well matched with the content to make readers voluntarily pay more. We also examined the comparative importance of levels within each attribute in more details. Based on findings of two studies, two major and nine minor propositions are suggested for future empirical research. This study has academic implications in that it is one of the first studies applying both content analysis and conjoint analysis together to examine readers' voluntary payment behavior, rather than their intention to pay. In addition, online news content creators, providers, and managers could find some practical insights from this research in terms of how they should produce news content to make readers voluntarily pay more for their online news content.

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.

Predicting Stock Prices Based on Online News Content and Technical Indicators by Combinatorial Analysis Using CNN and LSTM with Self-attention

  • Sang Hyung Jung;Gyo Jung Gu;Dongsung Kim;Jong Woo Kim
    • Asia pacific journal of information systems
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    • v.30 no.4
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    • pp.719-740
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    • 2020
  • The stock market changes continuously as new information emerges, affecting the judgments of investors. Online news articles are valued as a traditional window to inform investors about various information that affects the stock market. This paper proposed new ways to utilize online news articles with technical indicators. The suggested hybrid model consists of three models. First, a self-attention-based convolutional neural network (CNN) model, considered to be better in interpreting the semantics of long texts, uses news content as inputs. Second, a self-attention-based, bi-long short-term memory (bi-LSTM) neural network model for short texts utilizes news titles as inputs. Third, a bi-LSTM model, considered to be better in analyzing context information and time-series models, uses 19 technical indicators as inputs. We used news articles from the previous day and technical indicators from the past seven days to predict the share price of the next day. An experiment was performed with Korean stock market data and news articles from 33 top companies over three years. Through this experiment, our proposed model showed better performance than previous approaches, which have mainly focused on news titles. This paper demonstrated that news titles and content should be treated in different ways for superior stock price prediction.