• International journal of advanced smart convergence
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• 제10권3호
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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.

• 한국IT서비스학회지
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• 제18권1호
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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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• 제4권3호
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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.

• 한국IT서비스학회지
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• 제18권1호
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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.

• 한국의류학회지
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• 제45권2호
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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.

• 한국콘텐츠학회논문지
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• 제16권12호
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• pp.539-550
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• 2016

세월호 참사보도는 오보와 왜곡 축소 보도, 그리고 언론 윤리에 어긋나는 자극적인 보도 등으로 인해 국민들로부터 많은 질책을 받은 바 있다. 따라서 본 연구는 우리나라 방송사들이 세월호 참사를 어떻게 보도 했는지 학술적인 분석을 시도해 보고, 재난보도가 지니는 의미를 조명해 보고자 했다. 연구결과, 우리나라 주류 방송사인 지상파 방송사들은 재난보도가 지켜야 하는 보도의 정확성과 객관성에 미흡함을 보였으며, 언론이 재난보도 과정에서 지양해야 하는 선정성과 오보 양산 등 재난보도의 문제점에서 벗어나지 못하고 있는 것으로 나타났다. 그러나 JTBC의 경우 주류 방송사들의 보도와 달리 재난보도 과정에서 사건 발생의 원인규명과 재발 방지를 위한 대안을 제시하고, 지속적인 사회적 이슈로 논의할 수 있는 장을 마련한 것으로 나타났다.

• 농촌지도와개발
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• 제13권1호
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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.

• 디지털융복합연구
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• 제16권3호
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• pp.439-449
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• 2018

본 연구는 VR뉴스 속성이 이용자 효과 측면에서 VR뉴스에 대한 기억과 이해도, 즐거움, 눈의 피로도, 그리고 재이용의도에 미치는 영향을 실험연구를 통해 살펴보았다. 이를 위해 SPSS 21.0 프로그램과 AMOS 21.0 프로그램을 활용하여 탐색적 요인분석, 확인적 요인분석, 신뢰도분석, 상관관계분석, 그리고 경로분석을 통해 주요 결과를 도출하였다. 그 결과를 제시하면 다음과 같다. 첫째, VR뉴스 속성 중 실재감과 몰입감은 이용자들의 VR뉴스에 대한 기억에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 둘째, 실재감과 상호작용, 몰입감 모두가 이용자의 VR뉴스 이해도에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 셋째, 실재감과 상호작용, 몰입감 모두 즐거움에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 넷째, 실재감이 눈의 피로도에 통계적으로 유의한 부적 영향을 미치는 것으로 나타났다. 다섯째, 실재감과 몰입감이 재이용의도에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 본 연구의 결과는 VR뉴스의 속성과 이용자 효과를 이해하는데 있어 중요한 시사점을 제공해줄 수 있을 것으로 판단된다.

• 한국웰니스학회지
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• 제7권2호
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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.

• 한국콘텐츠학회논문지
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• 제18권7호
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• pp.103-119
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• 2018

이 연구는 계층모델을 토대로 뉴스생산 환경에 따라 미투 운동 보도의 선정성에 차이가 있는지 규명하기 위해 뉴스에 대한 네트워크 분석과 프레임 분석을 실시했다. 유명인에 대해 지상파보다 종편 뉴스의 선정성이 더 높았다. 지상파는 사건 중심으로 보도를 한 반면 종편은 피해 상황, 피해자의 심경, 가해자가 한 말이나 행동 등 성폭행 상황을 자세하게 묘사하고 안희정 전 지사에 대한 비난, 주변인 인터뷰를 통해 더 선정적으로 보도했다. 미투 운동 보도에서 방송은 가해자 중심으로 보도했다. 사건의 이름과 헤드라인에서 이러한 경향이 두드러졌는데 가해자인 안 전 지사가 '합의에 의한 관계'였다고 언급한 '합의 관계 프레임'이 일관되게 나타났다. 안 지사에 대한 '가해자 비난 프레임'도 있었다. 미투 운동 보도에서 방송은 폭로 저널리즘의 전형을 보여줬으며 미투 운동의 사회적 의미나 권력 관계를 중심으로 사건을 분석하고 해결방안을 제시한 보도는 찾아 볼 수 없었다. 연구를 통해 방송의 선정성 문제는 기자 개인의 문제가 아니라 미디어 관행, 조직적 차원의 문제로 접근해야 한다고 제안했다.