• Journal of Internet Computing and Services
• /
• v.16 no.3
• /
• pp.105-116
• /
• 2015

The Sewol ferry catastrophe that took place on April 16 2014 was unprecedented in terms of its sociopolitical implications, which had reverberated throughout the Korean nation. Mindful of such distinct characteristics of the Sewol ferry catastrophe, this thesis looks into the salience of the agendas portrayed in Twitter and Portal News coverage on the disaster and the correlation between the attribute-specific agendas of the foregoing mediums by making use of the agenda rank order correlation method. Extraction and analysis of big data revealed that first, while the hypothesis that there were little difference in terms of salience among the main agendas between Twitter and Portal News was dismissed, the rank order correlation proved to be high as regards the main agendas on Twitter and Portal News. This signifies that Twitter agendas exert influence over those on Portal News. Next, and regarding the five main agendas on the incident, there existed differences in salience between the attribute-specific agendas of the two mediums, with low figures for corresponding rank order correlations. Such results signify that Twitter and Portal News have little influence over each other as regards their agenda rank order correlation.

• Korean journal of communication and information
• /
• v.27
• /
• pp.123-151
• /
• 2004

This study explores the attributes of local readers based on a discriminant analysis. Local readers are divided into three groups national newspaper reader, local newspaper reader, and national & local newspaper reader. A nationwide telephone survey was conducted in june, 2004 and gathered 2,063 cases. News subject and advertising appeared to play less important role in distinguishing among the three group examined. The most powerful discriminating variables were residence area and period of residence area. Education, interest of capital city news, job were found to be moderately important variables on Function 1, which distinguished between local newspaper reader and national & local newspaper reader. Generally, local newspaper reader showed higher interest on capital area news and lower interest on metropolitan area news. However, the result of a discriminant analysis indicated local newspaper reader was distinguished from national newspaper reader in terms of higher interest of metropolitan area news. Simultaneously, local newspaper reader was distinguished from national & local newspaper in terms of lower interest of capital area news.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.5
• /
• pp.1-10
• /
• 2007

Many types of information provided through the web including news contents contain unnecessary clutters. These clutters make it difficult to build automated information processing systems such as the summarization, extraction and retrieval of documents. We propose a system that extracts and summarizes news contents from the web. The extraction system receives news contents in HTML as input and builds an element tree similar to DOM tree, and extracts texts while removing clutters with the hyperlink attribute in the HTML tag from the element tree. Texts extracted through the extraction system are transferred to the summarization system, which extracts key sentences from the texts. We implement the summarization system using co-occurrence relation graph. The summarized sentences of this paper are expected to be transmissible to PDA or cellular phone by message services such as SMS.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.05a
• /
• pp.519-522
• /
• 2020

1989년에 WWW(World Wide Web)이 도입 되면서 세계적으로 인터넷의 보급이 시작되었다. 정보화 시대라고 알려진 3차 산업혁명 이후로 대량의 정보들이 소셜 미디어를 통하여 생산되었다. 소셜미디어는 2007년에 인터넷 사용자들 중 56%의 이용률을 보였지만 2008년 2분기에는 75%의 이용률로 증가함에 따라 대부분의 사용자들이 많이 사용하며 의존하게 되었다. 또한 소셜 미디어를 통해 발생 되는 데이터들을 이용하여 기업들은 이윤 창출을 할 수 있다. 하지만 이러한 소셜 미디어는 악의적인 목적을 통해 주가 조작, 정치적 선동 등을 할 수 있는 가짜 뉴스와 허위 정보들을 생성할 수 있으며 이에 따라 대책이 시급하다. 또한 가짜 뉴스는 사람이 글을 작성할 수도 있지만 최근 인공지능 기술의 발달에 따라 프로그램을 통해 자동적으로 생성 될 수도 있다. 본 논문에서는 이와 같은 실제 뉴스와 인공지능을 기반으로 한 뉴스를 분석한다. Kaggle에서 실제 뉴스 데이터를 수집하여 헤드라인을 OpenAI의 GPT-2 언어 모델을 통해 뉴럴 가짜 뉴스를 생성 하였다. 파이썬의 NLTK 모듈을 이용하여 전처리를 진행하였고 t-검정과 박스 플롯을 활용하여 분석을 진행하였다. 분석된 주요 속성들을 의사결정트리를 통해 모델 검증을 하였고 k-fold 교차검증을 통해 분류 모델을 평가하였다. 결과로 전체 분류 정확도 평균 89%의 성능을 보여주었다.

• Korean journal of communication and information
• /
• v.17
• /
• pp.37-60
• /
• 2001

This study attempted to demonstrate the interaction effects between attitudinal frames of nine daily newspapers and community structure in the 1994s Michigan gubernatorial election. It was theoretically guided by framing research and the self-presentation theory of social-cognition perspective and empirically tested with archival data. For the purpose of this study, content analysis of nine statewide daily newspapers was employed in order to provide data on news framing. Data on voting rates for John Engler, winner of the 1994 Michigan Gubernatorial election, in each county of Michigan were used for vote choice while Michigan census data were used for constructing an Index of community structural differentiation. The results indicated that majority compliance frames were slightly more related with vote choice in homogeneous com-unities rather than were majority compliance frames in heterogeneous communities while social identification frames tended to have an influence on vote choice in heterogeneous communities more than did social identification frames in homogeneous communities.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.1111-1117
• /
• 2023

Recently, South Korean newspapers began trying to charge for online news. This study attempts to shed light on the factors that influence payment for online news by analyzing Korea Press Foundation's 2022 Media Audience Survey (N = 58,936). The results of this study showed a steady increase in past payment and paying intent for online news since 2020. Predictors of past payment for online news included gender, age, and education, and interest in political and social issues. News use through specific media (i.e., newspapers, magazines, portals, messengers, social media, video sites, and podcasts), as well as mobile applications and e-mail newsletters, were found to contribute to paid subscriptions. Based on the findings of the study, news organizations should prepare to offer differentiated news content through their own news platforms and establish concrete plans to build trust in news.

• KAPE Magazine
• /
• s.227
• /
• pp.7-9
• /
• 2015

웹사이트나 커뮤니티의 속성을 구분할 때 '여초', '남초'라는 표현을 쓴다. 이제는 뉴스에서도 쓰는 신조어가 된 이 말은 어느 한 성별의 비중이 높아 이용자의 절반 이상에 해당함을 뜻한다. 여기에 빗대보면, 축산물품질평가원은 '남초'다. 그것도 극심한 '남초'다. 물론 그 속에도 여성은 있으나 총 52명, '남초' 커뮤니티로 유명한 '일베'나 '오유'조차 넘보지 못할 경지에 이르렀다고 해도 과장이라고 말할 수 없을 정도다.

• Korean journal of communication and information
• /
• v.71
• /
• pp.194-223
• /
• 2015

This study explores a value chain structure of TV program including news, drama, and comedy. The purpose of this research focused on factor analysis and the relationship among viewer's program selection motivations. This research explores correlation between personal value and viewing motivation. This study was to identify the value structure of respondent on TV program(news, drama, comedy) based on means-end chain theory. The research used structured APT laddering questions and 251 data was analysed. Through such analysis, category difference by stage and relationship difference were identified and hierarchical value map was compared. There are four different value ladders: first is attributes, functional consequences, psychological consequences, and final value. The result shows that on news program the basic function is viewers are want to visual factor and quickly acquire social news and they pursue a value of personal social relationship. Whereas, on drama program, the viewers are reflected by around person, and they selected a program based on closed related person. In addition, the viewers are influenced by program's social nomination, production's brand in drama, and performer's nomination, producer and program prominence on comedy. The program selection is highly correlated on program selection's credibility, vital energetic life, and social relationship. The results shows that there was no significant difference between low involvement group and high involvement group for main category involvement group respondents.

• Korean journal of communication and information
• /
• v.74
• /
• pp.197-224
• /
• 2015

This paper critically investigates the cultural phenomenon surrounding the news mobile phone app in which 'curation', relying on the news editing and adaption, has become much more significant than making the news directly. This study affirms the fact that a copying culture which is basically a combinative effect of duplication (alias) and imitation(mimesis) enables us enrich the human beings' creative activities. However, we need to warn the regressive aspects of copying culture challenging the journalistic principles. This study exemplifies a case of Pikicast, which has become the most rapid growing news content mobile app in Korea. By doing a case study, this paper suggests that 'social gift' should be given to the online users as a whole. The communal and social gift would be an alternative way to the unpaid crawling of the news resources from the digital commons by the news content curating corporation such as Pikicast.

• Korean journal of communication and information
• /
• v.79
• /
• pp.165-195
• /
• 2016

This paper aims to examine the third-person effect(TPE) of hate comments on online news, and analyze how the issue-relevant audience factors as well as the characteristics of the online message have influence on the TPE. More specifically, based on the distinction between hateful and logical comments regarding the issue of illegal immigration, the authors have conducted an online experiment that compares how the message-related features, i.e., ways of expressing the ideas, lead to the difference in TPE. Analysis was also conducted with regards to how political orientation and discriminatory predisposition to immigrants among the audiences, have different impacts on the TPE. The 479 participants in the experiments were randomly assigned to experimental group(exposed to hate comments) or control group(exposed to logical comments). The results reveal that the TPE of hate comments is higher than that of logical message. The same message proved to be more effective for news users with liberal orientation and discriminatory predisposition. The significance of this paper lies in that it has examined the effect of online hate comments in a rigorous experimental setting. Also the research further elaborated on the audience-related variables, for which the previous studies tended to focus those on the general psychological level rather than relate them more specifically to the issues.