• International journal of advanced smart convergence
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• v.10 no.3
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• pp.131-142
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• 2021

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.187-200
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• 2019

Bankruptcy prediction model is an issue that has consistently interested in various fields. Recently, as technology for dealing with unstructured data has been developed, researches applied to business model prediction through text mining have been activated, and studies using this method are also increasing in bankruptcy prediction. Especially, it is actively trying to improve bankruptcy prediction by analyzing news data dealing with the external environment of the corporation. However, there has been a lack of study on which news is effective in bankruptcy prediction in real-time mass-produced news. The purpose of this study was to evaluate the high impact news on bankruptcy prediction. Therefore, we classify news according to type, collection period, and analyzed the impact on bankruptcy prediction based on sentiment analysis. As a result, artificial neural network was most effective among the algorithms used, and commentary news type was most effective in bankruptcy prediction. Column and straight type news were also significant, but photo type news was not significant. In the news by collection period, news for 4 months before the bankruptcy was most effective in bankruptcy prediction. In this study, we propose a news classification methods for sentiment analysis that is effective for bankruptcy prediction model.

• International Journal of Advanced Culture Technology
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• v.4 no.3
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• pp.62-68
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• 2016

This study explores evaluative linguistic expressions in news reporting about the 2016 general election outcome in Korean newspapers. In particular, we have examined the evaluative linguistic expressions quoted from the three Western news media -New York Times, Washington Post, and BBC, both quantitatively and qualitatively in Korean news stories in order to know how journalists frame the news stories to persuade news consumers to accept their ideologies. This is based on the assumption that quotation can be a tool in conveying ideologies to news consumers (van Dijk, 1988, Jullian, 2011). To achieve this purpose, we selected ten Korean newspapers which included quotations from the news stories of the three Western media and then analyzed the quoted expressions quantitatively and qualitatively. For a qualitative analysis, evaluative linguistic expressions were analyzed to examine the journalistic stances of the Western news stories, following Martin's (2003) appraisal theory. For a quantitative analysis, a word frequency analysis was conducted to figure out the ratio of quoted words to the whole news texts in Korean newspapers. As a result, it was found that the news stories of BBC and Washington Post were more frequently quoted than that of New York Times when journalists conveyed neutral or positive attitude to the election outcome, thus confirming that evaluative linguistic expressions were functionally employed to convey journalists' ideologies or stances to news readers.

• 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.

• 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.

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

• Journal of Agricultural Extension & Community Development
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• v.13 no.1
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• pp.99-121
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• 2006

The purpose of the study was to analyze agricultural and rural news in mass media reporting. This study analyzed the representation of agricultural and rural news of Korean Broadcasting System (KBS), established in 1947 as a public service broadcaster and the Seoul Broadcasting System (SBS), established in 1990 as a private service broadcaster in Korea. There has been criticisms of isolated and anecdotal reporting of agricultural and rural issues, thus, leading to negative public perception mainly influenced by mass media even though there has been increases in the publicity activities regards agricultural policies in the KBS and SBS broadcasting news. This study was designed to reveal the merits of the preceding criticisms. For this purpose, a total of 437 news items issued between September 2004 and August 2005 were analyzed via content and framing analysis research methodologies. The major findings and conclusions of the study were as follows: 1. Content analysis of agricultural and rural news revealed that the lack of relative quantity and 'in-depth analysis' in agricultural reporting and the thematic concentration on negative news and flash events were the most prominent characteristics of Korean broadcasting news. 2. The quantity of agricultural news was relatively insufficient and qualitatively superficial and stereotyped lacking in comprehensive understanding of agricultural and rural issues and inclined toward flash events and crisis-oriented. Based on the findings and conclusions, following recommendations are offered; 1) Agricultural institutions should consider changing the images of rural society and farmers implementing agricultural and rural policies in the future, and perception of the general public should be considered in reporting agricultural and rural news. 2) Further research should be conducted to provide practical implications for the broadcast media on the agricultural information system.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.439-449
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• 2018

The purpose of this study was to examine the effect of VR news focused on recall, understanding, enjoyment, visual fatigue and reuse intention through experimental study. Using Window SPSS 21.0 and AMOS 21.0 program, the data was analyzed by exploratory/confirmatory factor analysis, reliability analysis, correlation analysis and path analysis. The Results are as follows. First, presence and immersion among VR news characteristics influenced positively on users' recall of VR news. Second, presence, interactivity and immersion among VR news characteristics influenced positively on users' understanding of VR news. Third, presence, interactivity and immersion among VR news characteristics influenced positively on users' enjoyment of VR news. Fourth, presence among VR news characteristics influenced negatively on users' visual fatigue of VR news. Fifth, presence and immersion among VR news characteristics influenced positively on users' reuse intention of VR news. This study will provide on an important implication understanding VR news characteristics and VR news users.

• Journal of Wellness
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• v.7 no.2
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• pp.25-37
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• 2012

The purpose of this study was to analyze the mass media's news framing on the elderly leisure. For this, researchers collected news articles from daily newspapers such as Chosun Ilbo, Hankyoreh, Kyunghyang Shinmun, and analysed the news framing of them through text-analytic approach. Total of 153 news the about elderly leisure between 1990 and 2010 were used for frame analysis. The Frame analyses were divided by formal frame and content frame. The formal frame was formed by deduction based on the classification method of Iyergar(1991) and the content frame was formed by induction according to the analysis of overall themes and titles of news. The main result could be summarized as follows: First, the analysis of formal frame showed that the episodic frame was predominantly high which focused on specific event or occurrences about elderly leisure. Second, it was found by content frame analysis that elderly leisure's facilities, health, serious leisure, policy frame were main subjects of news framing.

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