• Proceedings of the Korea Database Society Conference
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• 1997.10a
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• pp.354-357
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• 1997

1980년 FINSBURY DATA는 수많은 source로 부터 뉴스를 모을수 있는 시스템을 개발하여 이것을 공문서(archive)로 보관로 하여 이것을 HP dumb terminal과 모뎀을 이용하여 search가 능하게 만들었다. 많은 source 확보하였고 사용자가 늘자 다른 상품으로 개발하였다. 휘스버리가 개발한 한 상품은 Finsbury stand-alone 터미널을 통하여 12개월 주기의 데이터 베이스의 한종류를 제공하였고 이는 회사의 구체적인 뉴스를 검색할 수 있게 하였다. 이 상품은 회사별로 검색할수 있게 하였는데 이를 COMPANY NEWS YEAR 이라 불렀다. 이 상품은 현재도 계속 유지되고 있었으나 1991년 6월부로 사용할 수 없으며 이는 IDN에 연결된 게이트 웨이를 이용하여 로이터 터미널을 통하여 접속할 수 있다.(중략)

• Journal of Digital Convergence
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• v.19 no.3
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• pp.177-185
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• 2021

This paper aimed to grasp what the percentage in the types of news stories on the online broadcast is, which was conducted by analyzing the news stories of 9 broadcasting websites on the Naver newsstand. For the analysis, a total of 270 days' samples were selected, including 30 days per broadcast on 9 broadcasting websites. For a method of analysis, One-way ANOVA was used to examine the difference among broadcasting websites. The analysis was made centering with priorities given to the type of news stories by the composition of language, the type of genre as a standard of stories, and so on. As a result of analysis, all the programs in the off-line broadcast have been produced and transmitted as a video-typed story, but a half of those in on-line broadcast have been made up of the stories composed of photo and text. The online newspaper has been producing a new type of news' story using video-typed story or computer graphic while the online broadcast has actively been utilizing stories composed of photos and text, which are types of newspaper's stories. From above-mentioned results, it can be understood that the boundary among media is getting more and more indistinct on the environment of online media, showing the phenomenon that the type of broadcast's stories is becoming old-fashioned.

• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.53-57
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• 2012

본 논문은 소셜 미디어 기반 의사결정 지원 시스템인 '소셜위즈덤'에 포함된 이벤트 템플릿 추출에 대해서 소개한다. 의사결정 지원 시스템은 경제적, 사회적 중요사항을 결정할 수 있도록 관련 정보와 인사이트(Insight)를 제공하는 정보시스템을 이른다. 기존 시스템은 단지 특정 키워드 빈도나 공기하는 키워드들의 관계만을 제공하였다. 그러나, 소셜위즈덤은 이벤트로 정의되는 주체(Subject), 이벤트 속성(Event-Property), 객체(Object)의 트리플(Triple) 집합인 템플릿을 추출하여 이를 기반으로 이벤트 정보를 함께 제공한다. 템플릿 추출은 고정밀 언어분석의 관계추출 기술과 온톨로지에 기반한 템플릿 제약 및 필터링 규칙을 이용하였다. 수작업으로 구축한 평가데이터로 평가한 결과, 템플릿 추출 성능(F-Score)은 뉴스 0.544, 블로그 0.3386, 트위터 0.3251이고 전체 통합 성능은 0.4648이었다. 필터링 성능(Accuracy)은 뉴스 0.7257, 블로그 0.6122, 트위터 0.6207이고 전체 통합 성능은 0.722이었다.

• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.726-734
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• 2019

This study investigates the number of news and correlated keywords concerning to Korean Wireless Emergency Alert(KWEA). The news was collected using BIGKinds, a news big data system provided by the Korea Press Foundation. When analyzing the annual published news articles, we investigated the frequency of the news grouped by disaster types, and the frequency of the news distinguishing between the earthquake and non-earthquake disasters, and finally the frequency of correlated keywords concerning to the disasters. We found that the KWEA news totaled 182 in 2016 due to the unprecedented powerful KyongJu earthquake, an increase of 20 times over the previous year. Ever since 2016, the news about the KWEA continued to hit high figures consistently. After the peak in KyongJu earthquake in 2016, the proportion of non-earthquakes had also increased in 2017 and 2018. Next, the keyword correlation analysis showed that the KWEA news gave major coverage to the following entities: The Ministry of the Interior and Safety which operates the KWEA, Korea Meteorological Administration, and the general public.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.628-644
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• 2021

The main purpose of this study is to search for variables that influence the perception of news of YouTube current affairs and political channel users. Existing studies have focused on providing normative criticism by examining the public opinion influence of YouTube channels, which play a role similar to the media, in terms of political polarization, fake news, and confirmation bias. However, this study attempts to examine the changes and meanings of users' perception of news with the advent of YouTube. To this end, an online survey was conducted for users with experience in using YouTube's current affairs and political channels. As a result of the study, it was found that the news perception of YouTube current affairs and political channel users was mixed with the perception of news from the perspective of professional journalism and the perception of newly added news in the digital environment. Based on these results, the researcher examined the implications of the professional news media's response direction to the platform environment.

• Journal of Broadcast Engineering
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• v.12 no.4
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• pp.311-320
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• 2007

In this paper, an efficient detection algorithm of an anchor shot in news video is presented. We observed the audio visual characteristics of news video and proposed several low level features which are appropriate for detecting an anchor shot in news video. The overall structure of the proposed algorithm is composed of 3 stages: the pause detection, the audio cluster classification, and the matching with motion activity stage. We used the audio features as well as the motion feature in order to improve the indexing accuracy and the simulation results show that the performance of the proposed algorithm is quite satisfactory.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.179-188
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• 2023

Recently, fake news disguises the form of news content and appears whenever important events occur, causing social confusion. Accordingly, artificial intelligence technology is used as a research to detect fake news. Fake news detection approaches such as automatically recognizing and blocking fake news through natural language processing or detecting social media influencer accounts that spread false information by combining with network causal inference could be implemented through deep learning. However, fake news detection is classified as a difficult problem to solve among many natural language processing fields. Due to the variety of forms and expressions of fake news, the difficulty of feature extraction is high, and there are various limitations, such as that one feature may have different meanings depending on the category to which the news belongs. In this paper, emotional change patterns are presented as an additional identification criterion for detecting fake news. We propose a model with improved performance by applying a convolutional neural network to a fake news data set to perform analysis based on content characteristics and additionally analyze emotional change patterns. Sentimental polarity is calculated for the sentences constituting the news and the result value dependent on the sentence order can be obtained by applying long-term and short-term memory. This is defined as a pattern of emotional change and combined with the content characteristics of news to be used as an independent variable in the proposed model for fake news detection. We train the proposed model and comparison model by deep learning and conduct an experiment using a fake news data set to confirm that emotion change patterns can improve fake news detection performance.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.459-468
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• 2022

This study searched and analyzed news and information on the Korea-U.S. Summit to explore which political agenda is spreading among Korean newspapers and social media. The result of the analysis revealed that, on the one hand, the conservative-leaning newspaper, Chosunilbo, covered the unresolved issue between two countries. The principal source of news was the opposition party. On the other hand, the progressive-leaning newspaper, Kyunghany Sinmun, highlighted President Moon's visit to the United States and described the visit to the United States as an achievement. In this paper, the principal source of news is the ruling party. Both conservative and the progressive newspapers did not present a negative view of the United States. In the case of Chosunilbo, it mentioned that foreign policy priority of President Biden is human rights in North Korea. If the two countries do not solve this issue, the relationship between Korea and the United States will not develop further. Second, I searched YouTube videos about the Korea-U.S. summit and conducted a network analysis to understand the influence of YouTube videos and explore their relationship the each other. The results of the analysis revealed that the 10 most influential videos portrayed the Moon government positively. These videos held the achievement of the visit to the United States in highly esteem and framed it positively, similarly to the progressive newspaper.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.47-54
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• 2018

The purpose of this study is to explore a difference in crisis between media and parties. This research examined political crisis situation, crisis response, and media coverage using a case. Two main political parties in Korean faced the illegal fund raising case during the 16th presidential election. They used types of crisis response strategies for restoring or maintaining their reputation. This study found that a party's crisis response was consistent with news media, but another party's message was significantly different from news media. Such match or mismatch between a party and news media will influence on public evaluation toward a crisis response. This study has meaningful contribution in that the difference between an organizational crisis response message and news media coverage is significant.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.13-22
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• 2019

In the midst of the rapid changes in the digital media environment, this study try to examine the challenges of the public service broadcasting(PSB) news as a representative public sphere in a democratic society, and sought realistic alternatives through a case study of the BBC, one of the most successful digital policies of PSB in the world. The study found that the BBC's 'Digital First' strategy pursued a fundamental change in news formats, thereby simultaneously innovating on content. It was also interesting to see that the news consumers' needs for social media and video content were selectively analyzed and approached with a strategy of choice and focus. Finally, the production of customized digital content by analyzing news viewing behavior by each age group also suggests a lot to Korean PSB. I hope that the cases of this study will be reflected in the digital policies of Korean PSB.