• International journal of advanced smart convergence
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• v.10 no.3
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.57-67
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• 2019

The way people read news is changing, from print to screen. In this study, we aimed to understand the impact of the use of infographics in news on readers. According to a study conducted by Reuters Research Institute at the University of Oxford in 2017, the proportion of online consumers of news is steadily increasing, with over 51 per cent of Americans receiving news via social media. Additionally, newspaper subscription rates are rapidly declining. According to previous studies, the understanding of text information is higher in print media than on screen. Therefore, to compensate for the weaknesses in the understanding of online news, online news media are providing infographic news services to deliver good news. Therefore, this study attempted to understand the impact of using infographics in the news. To this end, three experiments were conducted. The findings from the study indicate that the use of infographics in news has a positive effect on users in terms of the variables measured, including cognitive effect and acceptance of news. As compared with print news, on-screen news was not as effective in terms of comprehension. However, we propose interactive infographics to enhance communication effect along with improved design.

• 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.

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

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.706-722
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• 2014

This paper investigates audience perception on news content through comparison analysis on Comprehensive Programming Channels, TV chosun, JTBC, Channel A, and Terrestrial Broadcasting 'KBS'. How sensationalism created by video news affect audiences' credibility on news and media. The results shows that Comprehensive programming channels are assessed more sensational than terrestrial broadcasters by audience. Additionally, Comprehensive programming channels are assessed to get a lower credibility than terrestrial broadcasters by audience in the analysis of news and media credibility, comprehensive programming channels and terrestrial broadcasters. As a result, comprehensive programming channels showed lower news credibility and media credibility compared to that of the terrestrial broadcasters. This means that comprehensive programming channels must do the best not only recovering credibility from audiences but also constructing position as national broadcasting media.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.474-488
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• 2021

The application of Augmented Reality(AR) technology is visible in medical procedures, education, marketing, and journalism. By experimenting, this study examines how the evaluation of the three elements of augmented reality news contents(visual image, storytelling, interactivity) affects immersion and information acquisition. Specifically, a 2 (video technology: AR vs. general) × 2 (news type: disaster vs. sports) between-subject design was examined. Results showed that the evaluation of all three elements was higher when viewing AR news than when viewing general news. The level of immersion was higher when viewing AR news, and the evaluation of storytelling and interactivity had positive effect on the level of immersion regardless of the news types. However, the evaluation of visual images did not affect the level of immersion. Information acquisition was higher after viewing AR news, yet the effect of the evaluation of the three elements on information acquisition had not been found. Implication and discussion of the study were added in the end.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.5
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• pp.416-428
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• 2001

In order to build a news archive system. the news video stream should be first segmented into several articles, ad their contents are abstracted effectively. This abstraction helps the users to understand the contents of the article without playing the whole video stream. This paper proposes a new article boundary detection scheme for the news video streams together with a new news article abstraction scheme using the shot types of the news video data. The shots in the news video are classified into anchor person shots, interview shots, speech shots, reporting shots, graphic shots, and others. Since the news article starts with an anchor shot whose duration is relatively longer than other shots with special screen structure, the article boundary in detected by the computing the length of the shot and checking the screen structure in the proposed scheme. For the effective abstraction of the article video, the graphic image located in the right-top of the anchor shot frames is primarily used in the proposed abstraction scheme since it is the abstraction of the article made by the producer of the news according to its contents so that it contains a lot of meaningful information. The key frames of the other shots except interview and report shots are also used to abstract the contents of the articles in the proposed scheme. Upon experimental results, the precision and recall values of the proposed article boundary detection scheme could be 92% and 96%, respectively. This paper also presents a design and implementation of a prototype news archive system on WWW that consists of an indexing tool, an authoring tool, a database for meta-data of the news, and a browsing tool.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.150-161
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• 2019

This study analyzed the impact of social trust and conflict perception of news users on news use. To this end, 548 adults aged 20 and under 69 were surveyed online. The analysis results are as follows. First, the level of awareness of social conflict has been shown according to people's political orientation. Second, the higher the trust in society, the greater the use of news regardless of land-based, comprehensive, and online channels. Third, the perception of social conflict was related to the use of news through JTBC, TV Chosun, Channel A and YouTube. Fourth, the age and political orientation of news users influenced the use of news by channel. Finally, the more progressive the tendency was to use news through JTBC or to watch news on portals. On the other hand, the more progressive the use of news through three terrestrial broadcasters, TV Chosun, and Channel A decreased. In conclusion, this study is meaningful in terms of the user-oriented discussion of the news environment and the impact of an individual's social perception on news use.

• Journal of Digital Contents Society
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• v.18 no.5
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• pp.923-932
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• 2017

Based on the metadata of BIGkids, a news big data system, this study analyzed the trends of news coverage by the major fields and topics related to Deoksugung Doldam-gil in mass media. In addition, we tried to interpret the space discourse of Deoksugung Doldam-gil which has been formed in contemporary period through the analysis of data related to BIGKinds, the contents of related reports and context. As a result of the analysis, the coverage of Deoksugung Doldam-gil was mostly reported in the field of 'Culture', and the news related to 'Cooking_Travel', 'Exhibition_Performance' and 'Broadcasting Entertainment.' Deoksugung Doldam-gil was categorized as the pedestrian freindly street, the cultural and artistic street, and the historical street, and interpreted the spatial discourse with related news contents.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.23-33
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• 2021

This study analyzed news articles about 'Young-Kl' reported by 11 media outlets, identifying news frames and quotation frames. Using a semantic network analysis, this study inspected the quotations frames and measured the frequency of the quotes and sources types. Also, the concentration index of the frames was measured. The results showed that news frames consisted of 10 topics and quotation frames consisted of 14 topics. Although the differences among quotation frames by media as well as by source types were observed, the concentration index of sources such as government, political arena, and business appeared high. Therefore, this study suggested that numerical diversity of news sources would not establish the diversity of news frames.