• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.57-71
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• 2013

Over a billion people in the world generate new news minute by minute. People forecasts some news but most news are from unexpected events such as natural disasters, accidents, crimes. People spend much time to watch a huge amount of news delivered from many media because they want to understand what is happening now, to predict what might happen in the near future, and to share and discuss on the news. People make better daily decisions through watching and obtaining useful information from news they saw. However, it is difficult that people choose news suitable to them and obtain useful information from the news because there are so many news media such as portal sites, broadcasters, and most news articles consist of gossipy news and breaking news. User interest changes over time and many people have no interest in outdated news. From this fact, applying users' recent interest to personalized news service is also required in news service. It means that personalized news service should dynamically manage user profiles. In this paper, a content-based news recommendation system is proposed to provide the personalized news service. For a personalized service, user's personal information is requisitely required. Social network service is used to extract user information for personalization service. The proposed system constructs dynamic user profile based on recent user information of Facebook, which is one of social network services. User information contains personal information, recent articles, and Facebook Page information. Facebook Pages are used for businesses, organizations and brands to share their contents and connect with people. Facebook users can add Facebook Page to specify their interest in the Page. The proposed system uses this Page information to create user profile, and to match user preferences to news topics. However, some Pages are not directly matched to news topic because Page deals with individual objects and do not provide topic information suitable to news. Freebase, which is a large collaborative database of well-known people, places, things, is used to match Page to news topic by using hierarchy information of its objects. By using recent Page information and articles of Facebook users, the proposed systems can own dynamic user profile. The generated user profile is used to measure user preferences on news. To generate news profile, news category predefined by news media is used and keywords of news articles are extracted after analysis of news contents including title, category, and scripts. TF-IDF technique, which reflects how important a word is to a document in a corpus, is used to identify keywords of each news article. For user profile and news profile, same format is used to efficiently measure similarity between user preferences and news. The proposed system calculates all similarity values between user profiles and news profiles. Existing methods of similarity calculation in vector space model do not cover synonym, hypernym and hyponym because they only handle given words in vector space model. The proposed system applies WordNet to similarity calculation to overcome the limitation. Top-N news articles, which have high similarity value for a target user, are recommended to the user. To evaluate the proposed news recommendation system, user profiles are generated using Facebook account with participants consent, and we implement a Web crawler to extract news information from PBS, which is non-profit public broadcasting television network in the United States, and construct news profiles. We compare the performance of the proposed method with that of benchmark algorithms. One is a traditional method based on TF-IDF. Another is 6Sub-Vectors method that divides the points to get keywords into six parts. Experimental results demonstrate that the proposed system provide useful news to users by applying user's social network information and WordNet functions, in terms of prediction error of recommended news.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.530-539
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• 2002

Recently, there have been a lot of researches to develop an archive system for news videos that usually has a fixed structure. However, since the meta-data representation and storing schemes for news video are different from each other in the previously proposed archive systems, it was very hard to exchange these meta-data. This paper proposes a scheme for news video based on MPEG-7 MDS that is an international standard to represent the contents of multimedia, and a summarization mechanism reflecting the characteristics of shots in the news videos. The proposed scheme for news video uses the MPEG-7 MDS schemes such as VideoSegment and TextAnnotation to keep the original structure of news video, and the proposed summarization mechanism uses a slide-show style presentation of key frames with associated audio to reduce the data size of the summary video.

• Broadcasting and Media Magazine
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• v.9 no.2
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• pp.21-30
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• 2004

무선 네트워크 환경과 정보기기의 발달은 사람들의 생활행태와 기업의 업무환경을 이동형으로 변화시키고 있으며 언제 어디서나 인터넷을 이용할 수 있는 기반을 마련해 주고 있다. 2003년 8월 현재 국내 무선인터넷 가입자가 3,000여명을 넘어서고 있으며, 멀티미디어 기능을 가지고 있는 고급형(3G) 단말기가 증가하는 등 무선인터넷 환경이 더욱 개선되면서 무선 인터넷 사용자는 더욱 증가할 것으로 예상된다. 특히, SMS, 게임, 음악, 뉴스 및 증권 정보 등의 서비스 및 콘텐츠는 사용자들의 개인적인 목적과 기호를 충족시켜주고 있다. (중략)

• Annual Conference on Human and Language Technology
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• 2013.10a
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• pp.126-128
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• 2013

빅데이터(Big Data)는 현재 생산되고 있는 데이터 중 그 규모가 방대하고, 생성 주기가 짧으며, 수치 데이터 뿐 아니라 텍스트 이외의 멀티미디어 등 비정형화된 데이터를 포함하는 대규모 데이터를 말한다. 빅데이터를 처리하여 가치 있는 정보를 추출하는 방법에 관한 연구가 활발하게 진행되고 있으며, 이를 바탕으로 빅데이터가 다양한 분야에서 활용되고 있다. 현재 국내 주식시장에서도 빅데이터를 이용하여 기업의 투자에 활용하고 있다. 이 논문에서는 인터넷의 증권과 관련된 뉴스를 수집하여 수집된 뉴스와 주가 지수를 이용하여 기업 뉴스 평가 시스템을 개발하는 방법을 제안한다.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.479-488
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• 2012

The study examined acculturation patterns of Korean-Americans living in Portland, USA and their relationship to the consumption of media contents. Under the academic guidance of Berry's acculturation model, the four strategies of acculturation model were extensively inquired that immigrants and sojourner would adopt in host culture: Integration, Assimilation, Separation and Marginalization. Furthermore, how differently the four acculturation modes are related to media contents was examined. For this study, the survey questionnaires were administered among Korean Americans in Portland, USA. The total 371 data were collected and analyzed. The result indicated that 1) they preferred integration(M=4.57) and separation modes(M=4.49) over assimilation (M=2.92); 2) as separation tendency increased, the preference of Korean contents over American contents increased while as assimilation tendency increased, the preference of American contents over Korean contents; 3) high assimilation persons consumed more news than entertainments in American media contents. Compared to it, high separation persons used more entertainments than news in American media contents and more news than entertainments in Korean media contents.

• 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.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.673-683
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• 2018

The accident of Sewol Ferry is a disaster that provoked serious mental shock to the Korean people way beyond the level of generally-perceived catastrophic aftermaths. The purpose of this study is to examine the relationship between vicarious disaster experiences through media and post-traumatic stress(PTSD) symptoms of media users related to the accident. The responses of 417 people consisted of college, middle and high school students, and adults in a metropolitan area were collected for 12 days from the April 28, 2014 right after the accident. The results showed that the level of PTSD of social media users were higher than that of traditional media (newspapers or TV news) users on the accident. Also, the amount of use of disaster news information and social media revealed positive correlations with PTSD. Implications of this study are to demonstrate possible mechanisms of psychological trauma mediated by media on a disaster and its empirical data and to facilitate further research.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.54-60
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• 2011

The study is content-based video retrieval system based on the news video domain as researching for the video data processing method for searching the multimedia information. For the implementation of effective system, We retrieval meaning information and special information using the knowing knowledge about formation and structure of the video data. These are possible to retrieval searching by articles fast and accurately by indexing contents the users want to search. The news domain used in experiment of our system is the KBS news on the air nowadays and precision and recall is used to evaluate the experiment and performance.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.454-460
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• 2021

This study attempted to empirically analyze how the use of portal news is related with user's social credibility levels. 1100 subjects were sampled and online-surveyed. The amount of news usage and level of social credibility were measured respectively by the PNRBS(Portal News Readership Behavior Score) and SCI(Social Credibility Index) which were developed by the researcher. The results show that the relationship between scocial credibility and portal new use is not a linear but some V type. In terms of the mean score of social credibility index, non-portal news user is the highest while the light user is the lowest and the heavy user is the second highest.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.10a
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• pp.79-84
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• 1998

일반적으로 동영상 검색을 위해 주석 기반과 내용 기반 검색을 사용하는데, 주석 기반 검색은 사용자의 주관이 개입되어 일관성을 잃기 쉽고, 내용 기반 검색은 동영상 데이터가 담고 있는 의미가 추출되기 어렵다는 단점을 가지고 있다. 그래서, 본 논문에서는 이 두 검색 기법을 상호 보완하여 검색의 효율성과 정확성을 높이기 위해 통합 동영상 데이터 모델(IVDM)을 제안하고, 이것을 기반으로 뉴스 동영상 검색을 위한 데이터베이스 스키마와 질의 유형을 설계한다. 이 모델은 동영상 데이터를 계층적으로 구조화한 형태로 상위수준에서는 주제별로 부여된 메타 정보로 주석 기반 검색을 지원하고, 하위 수준에서는 동영상 데이터에서 색깔, 모양, 움직임, 질감 등의 특징 데이터를 추출하여 내용 기반 검색을 지원한다.