• The Journal of the Korea Contents Association
• /
• v.16 no.12
• /
• pp.539-550
• /
• 2016

The news coverage of Sewol Ferry catastrophe has reprimanded from numbers of people because of false reports and mediamorphosis such as distorted news. Thus, the purpose of this study is to examine the news coverage of television news programs about the Sewol Ferry catastrophe. Specifically, this study was conducted to figure out problems with the disaster news reports of several broadcasting stations such as, KBS, MBC, SBS and JTBC. Furthermore, the study also explores about how they reported without following the rules of disaster news coverage and policy of disaster news coverage by content analysis.

• The Journal of the Korea Contents Association
• /
• v.10 no.11
• /
• pp.329-340
• /
• 2010

This paper aims to analyze the hyperlink between the portal sites and the press dot coms news and to grasp the features of news service on the online journalism. As a result of the analysis, the portal sites, in the number of news articles which the hyperlink service had been provided, were more than the press dot coms. But in the number of the hyperlinks in the news story which hyperlink service had been provided, the press dot coms were more than the portal sites. The contents that were hyperlinked to the news stories of online journalism were composed of a informative type and an advertising one. All contents that were hyperlinked to the news stories on portal site were informative. On the other hand, about 92% of the contents that were hyperlinked to the news stories on the press web sites were advertising. By means of this analysis, the features of news service on the online journalism could be grasped.

• Journal of Information Technology Services
• /
• v.18 no.1
• /
• pp.219-234
• /
• 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
• /
• v.17 no.2
• /
• pp.207-218
• /
• 2017

The purpose of this study is to analyze news content consumption of news consumers in which a few media conglomerates control news consumption market caused by deregulation of media policy and development of Internet communication technology. In doing so, this study analyzes the consumption realities of news consumers in the new news consumption market generated by new media and mobile communication technologies, and the effects how the new news consumption market influences on news consumption pattern of audiences. After surveyed 229 news consumers, this study founded that news consumers use NAVER(news portal site) mainly while consuming news contents, specifically younger generation tends to use NAVER heavily. Furthermore, it is founded that news consumers chose news outlets for consuming news contents not by the quality of news contents and the function of the news outlets but by their own convenience.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.3
• /
• pp.277-285
• /
• 2007

This research proposes a personalized mobile web contents creation method that uses web news channel contents-based analysis. It promptly acquires data through the RSS and RSS-linked web pages which have been supplied by the existing web sites for a news search. And then It applies a personalization method using analysis in contents filtering and generation. The proposed method will make creating mobile web contents easier while lowering wireless contents production costs. Moreover, It can be improved a user satisfaction for contents filtering and access with using analysis that fits in with a matter of user's specific interest.

• The Journal of the Korea Contents Association
• /
• v.16 no.3
• /
• pp.403-414
• /
• 2016

The purpose of this study is to explore how South Korean TV news programs represent the image of North Korean defector through analyzing South Korean TV news contents portraying North Korean defector. In order to conduct this research, the study analyzes the main subjects of the South Korean TV news contents, the image of characters on the TV news contents, and frames which the TV news contents mainly used. According to the results of this study, the TV news programs represent the positive image of South Korean government whereas they criticize North Korean government while representing North Korean defector issues. However, the TV news programs showed no interest in real problems which the North Korean defectors are experiencing. Further, the findings of this study are very similar to the results of previous studies that were analyzing the representation of news media about minority groups including North Korean defectors. Most studies analyzing how news media represent minority groups show that the groups have been identified not by their own opinions and relations but predominant culture and lifestyles in the society, and they are also represented not by their own voice but predominant perspectives of the society.

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

• The Journal of the Korea Contents Association
• /
• v.18 no.10
• /
• pp.53-64
• /
• 2018

This study analyzed contents of main news of 7 channels for 4 years during the initial period of introduction of the general programming cable channel(GPCC) in order to examine changes in subject composition and diversity of broadcasting news contents due to the introduction of GPCC. As a result of the analysis, terrestrial broadcasters treated a wide range of topics, while the GPCC's news focused on political news and differentiated from the terrestrial in the composition of the topic. In the composition of the news topic headline news, GPCC showed distinctive structure using political news and North Korea news, while terrestrial news was treated as major news for economic and daily information news. As a result of analyzing the diversity of broadcast news in the first four years of opening GPCC, it has changed into a strategy of selecting and concentrating in order to compete with the terrestrial broadcasters. In the initial broadcasting news market, the terrestrial broadcastings were used to maintain diversity strategies while the GPCCs were using concentrated strategies.

• The Journal of the Korea Contents Association
• /
• v.18 no.7
• /
• pp.103-119
• /
• 2018

This study explored news coverage on the sex crimes and analyzed news by network analysis and frame analysis based on the layered model to compare news coverage on the celebrity. As a result, in case of celebrity the broadcasting focused more and the tone of news is more sensational. The news in ground wave broadcasting more detailed on the sex crimes. It blamed the An, the governor of Chungnam more and the news is more sensational by interviewing marginal man. In #Metoo case, broadcasting news focused on the offender. The title of case name and the headline are framed based on the offender. Especially consensual relationship frame is dominated in the sex crime news. This study also can see the offender blaming frame and in the viewpoint of agenda-setting. It is difficult to find the cause of #Metoo movement and the structural approach on the case. This study highlighted the importance of layed model when analyzing the sex-crime news related with #Metoo movement.

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