• 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.

• 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.

• 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.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.50-59
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• 2016

VR refers to Virtual Reality technology that allows experiences of virtual contents as if they are real through visual, auditory and other senses. VR is even affecting the news. This greatly shakes the frame of the news. In other words, the conventional way of the new was to watch it with the passive action of seeing pictures, articles and images while VR News offers an active paradigm of experience and participation. This study analyzed the VR news of each press and investigated how VR news is developing. Furthermore, an experimental study was conducted to examine how users actually perceived the VR news. News made using both the existing method and the VR news method were comparatively shown to users who were following the news, and the interview was carried out through questionnaires. The results obtained through the statistics and analysis are as follows. Users made an assessment that they felt the sense of realism in recognition of the VR news while it was still lacking in terms of the unique information delivery that the news performs. However, the intention of using the VR news again was shown to be high, which demonstrated the expectation of users who have experienced the VR news.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.578-592
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• 2019

This study investigated the main effect and interaction effect of independent variables such as news fatigue, political sophistication, knowledge system of news, and news view on reflective news use and partisan news use. This study employed multiple regression analysis and Two way ANOVA. The positive relationship between news fatigue and critical news use strategies was found. Exploring the factors to news processing strategies, the study suggested the potential direction of news education.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.10-22
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• 2021

This study conducted usability test to users in 20s in order to find problems for improving news apps of the major broadcasting companies. Efficiency, effectiveness, and satisfaction were evaluated by mobile news content type. Also there is including analysis of the news topics (hard news, soft news) and broadcasters (MBC, SBS). As a result, same problems were found in common items according to mobile news content types. And in the news topic, there was a difference in the news values and news attributes that need to be improved. This study gives practical implications to the news producers to improve the contents of news apps.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.143-156
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• 2012

People easily believe that news and stock index are closely related. They think that securing news before anyone else can help them forecast the stock prices and enjoy great profit, or perhaps capture the investment opportunity. However, it is no easy feat to determine to what extent the two are related, come up with the investment decision based on news, or find out such investment information is valid. If the significance of news and its impact on the stock market are analyzed, it will be possible to extract the information that can assist the investment decisions. The reality however is that the world is inundated with a massive wave of news in real time. And news is not patterned text. This study suggests the stock-index invest model based on "News Big Data" opinion mining that systematically collects, categorizes and analyzes the news and creates investment information. To verify the validity of the model, the relationship between the result of news opinion mining and stock-index was empirically analyzed by using statistics. Steps in the mining that converts news into information for investment decision making, are as follows. First, it is indexing information of news after getting a supply of news from news provider that collects news on real-time basis. Not only contents of news but also various information such as media, time, and news type and so on are collected and classified, and then are reworked as variable from which investment decision making can be inferred. Next step is to derive word that can judge polarity by separating text of news contents into morpheme, and to tag positive/negative polarity of each word by comparing this with sentimental dictionary. Third, positive/negative polarity of news is judged by using indexed classification information and scoring rule, and then final investment decision making information is derived according to daily scoring criteria. For this study, KOSPI index and its fluctuation range has been collected for 63 days that stock market was open during 3 months from July 2011 to September in Korea Exchange, and news data was collected by parsing 766 articles of economic news media M company on web page among article carried on stock information>news>main news of portal site Naver.com. In change of the price index of stocks during 3 months, it rose on 33 days and fell on 30 days, and news contents included 197 news articles before opening of stock market, 385 news articles during the session, 184 news articles after closing of market. Results of mining of collected news contents and of comparison with stock price showed that positive/negative opinion of news contents had significant relation with stock price, and change of the price index of stocks could be better explained in case of applying news opinion by deriving in positive/negative ratio instead of judging between simplified positive and negative opinion. And in order to check whether news had an effect on fluctuation of stock price, or at least went ahead of fluctuation of stock price, in the results that change of stock price was compared only with news happening before opening of stock market, it was verified to be statistically significant as well. In addition, because news contained various type and information such as social, economic, and overseas news, and corporate earnings, the present condition of type of industry, market outlook, the present condition of market and so on, it was expected that influence on stock market or significance of the relation would be different according to the type of news, and therefore each type of news was compared with fluctuation of stock price, and the results showed that market condition, outlook, and overseas news was the most useful to explain fluctuation of news. On the contrary, news about individual company was not statistically significant, but opinion mining value showed tendency opposite to stock price, and the reason can be thought to be the appearance of promotional and planned news for preventing stock price from falling. Finally, multiple regression analysis and logistic regression analysis was carried out in order to derive function of investment decision making on the basis of relation between positive/negative opinion of news and stock price, and the results showed that regression equation using variable of market conditions, outlook, and overseas news before opening of stock market was statistically significant, and classification accuracy of logistic regression accuracy results was shown to be 70.0% in rise of stock price, 78.8% in fall of stock price, and 74.6% on average. This study first analyzed relation between news and stock price through analyzing and quantifying sensitivity of atypical news contents by using opinion mining among big data analysis techniques, and furthermore, proposed and verified smart investment decision making model that could systematically carry out opinion mining and derive and support investment information. This shows that news can be used as variable to predict the price index of stocks for investment, and it is expected the model can be used as real investment support system if it is implemented as system and verified in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1345-1354
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• 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.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.219-234
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• 2019

Fake news threaten democratic elections and causes social conflicts, resulting in major damage. However, the concept of fake news is hard to define, as there is a saying, "News is not fake, fake is not news." Fake news, however, has irreversible characteristics that can not be recovered or reversed completely through post-punishment of economic and political benefits. It is also rapidly spreading in the early days. Therefore, it is very important to preemptively detect these types of articles and prevent their blind proliferation. The existing countermeasures are focused on reporting fake news, raising the level of punishment, and the media & academia to determine the authenticity of the news. Researchers are also trying to determine the authenticity by analyzing its contents. Apart from the contents of fake news, determining the behavioral characteristics of the promoters and its qualities can help identify the possibility of having fake news in advance. The online community has a fake news interception and response tradition through its long-standing community-based activities. As a result, I attempted to model the fake news by analyzing the affirmation-denial analysis and posting behavior by securing the web board crawl of the 'M community' bulletin board during the 2017 Korean presidential election period. Random forest algorithm deemed significant. The results of this research will help counteract fake news and focus on preemptive blocking through behavioral analysis rather than post-judgment after semantic analysis.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.99-106
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• 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.