• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.109-135
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• 2021

his study classified the development process of artificial intelligence (AI) speakers through analysis of the news text of artificial intelligence (AI) speakers shown in traditional news reports, and identified the characteristics of each product by period. The theoretical background used in the analysis are news frames and topic frames. As analysis methods, topic modeling and semantic network analysis using the LDA method were used. The research method was a content analysis method. From 2014 to 2019, 2710 news related to AI speakers were first collected, and secondly, topic frames were analyzed using Nodexl algorithm. The result of this study is that, first, the trend of topic frames by AI speaker provider type was different according to the characteristics of the four operators (communication service provider, online platform, OS provider, and IT device manufacturer). Specifically, online platform operators (Google, Naver, Amazon, Kakao) appeared as a frame that uses AI speakers as'search or input devices'. On the other hand, telecommunications operators (SKT, KT) showed prominent frames for IPTV, which is the parent company's flagship business, and 'auxiliary device' of the telecommunication business. Furthermore, the frame of "personalization of products and voice service" was remarkable for OS operators (MS, Apple), and the frame for IT device manufacturers (Samsung) was "Internet of Things (IoT) Integrated Intelligence System". The econd, result id that the trend of the topic frame by AI speaker development period (by year) showed a tendency to develop around AI technology in the first phase (2014-2016), and in the second phase (2017-2018), the social relationship between AI technology and users It was related to interaction, and in the third phase (2019), there was a trend of shifting from AI technology-centered to user-centered. As a result of QAP analysis, it was found that news frames by business operator and development period in AI speaker development are socially constituted by determinants of media discourse. The implication of this study was that the evolution of AI speakers was found by the characteristics of the parent company and the process of co-evolution due to interactions between users by business operator and development period. The implications of this study are that the results of this study are important indicators for predicting the future prospects of AI speakers and presenting directions accordingly.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.74-83
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• 2014

This study was conducted for the overall analysis for the interests, generally and uses of SNS (Social Network Service) of the overseas dance arts company. The subjects of this study were total 3,614 of countries, public, private and personal dance arts company in 100 countries on six continents. The selected 627 company which operate at least one SNS, and included them in this study. Then analyzed the SNS utilization six continental areas as per dance gener, types, and dance gener analyzed as per types. Also analyzed the SNS utilization six continental areas, dance gener as per types and obtained the following result First, It appeared that Ballet company of North America continent took advantage of SNS the most. Second, It appeared that Facebook, Twitter of North America was the most frequently used. Third, It appeared that Facebook wsa the most frequently used by traditional dance company. Fourth. Facebook, Twitter, Youtube were the most activity used by Ballet company of North America continent. In conclusion, this study recommends the policy alternatives related to the awareness of digital media, the establishment of the SNS marketing information system.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.159-167
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• 2009

With the increase of weight and influence of TV drama, many researchers began to publish papers on TV drama. However, those papers were mainly focused on social meaning and viewing motives and attitudes of TV audience. However, only a few papers researched about television image production techniques, such as 'Relationship between TV ratings and image production techniques', 'Transition process of TV drama's image production techniques', and 'Comparison of TV and film image production techniques'. According to the recent research on the relationship between TV ratings and image production techniques, TV rating is inverse proportionate to multiple camerawork and shot average duration with a very close relationship. The purpose of this thesis is to analyse the relationship between TV genre and image production technique with the data of top 100 of TNS Media Korea from the year 2004 to 2008. This paper found out that history drama uses more closeup, longshot, tracking and less waist shot than other genres, with shorter shot duration and longer scene duration.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.70-80
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• 2018

Due to the recent development of social media and mobile devices, graph data have been using in various fields. In addition, caching techniques for reducing I/O costs in the process of large capacity graph data have been studied. In this paper, we propose a multi-layer caching scheme considering the connectivity of the graph, which is the characteristics of the graph topology, and the history of the past subgraph usage. The proposed scheme divides a cache into Used Data Cache and Prefetched Cache. The Used Data Cache maintains data by weights according to the frequently used sub-graph patterns. The Prefetched Cache maintains the neighbor data of the recently used data that are not used. In order to extract the graph patterns, their past history information is used. Since the frequently used sub-graphs have high probabilities to be reused, they are cached. It uses a strategy to replace new data with less likely data to be used if the memory is full. Through the performance evaluation, we prove that the proposed caching scheme is superior to the existing cache management scheme.

• Korean journal of communication and information
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• v.15
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• pp.75-115
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• 2000

In Korea, since the mid 1990s, the subtitles are largely employed on television programs especially on diverting programs like talk shows and game shows. The functions of these subtitles are different from those of the traditional subtitles. The traditional subtitles are used to give credits, explain an action, or represent dialogue, to be brief they are used to give informations. But the new type of subtitles are used to amuse the public. Not only the new subtitles represent words of the guests but also they present opinions or judgements of the program producer. They show also what to give attention to, what the guest feels and finally what to laugh at. These subtitles are very well received by the public. So they are employed more and more frequently by lots of programs. These subtitles will be ratted comic subtitles because their principal function Is to raise a laughter and to make fun. The purpose of this study is to attempt to find some particularities concerning the uses of the comic subtitles on Korean television. The study suggests that the comic subtitles call for the very known social codes because they should be understood clearly by the public. The forms and styles of the codes employed in the comic subtitles are very similar to those used in the comics. Some graphic codes especially developed in the comics are employed with success in the comic subtitles. The comic subtitles are aiming to amuse and provoke a laughter by written text and visual codes usually employed in the comics. But why does the program producer use the comic titles for make the public laugh? Laugh is not a emotional reaction but a act caused by the intellectual judgement. Written text and visual codes employed in the comic subtitles permit to judge the situation intellectually because they give to the public a moment for think about what they treat. They permit the public to see more clearly the situational relations which can provoke a laughter. The comic subtitles constitute now one of the main elements on Korean television. It means that the insertion of writing in the audiovisual media is popular in Korea. The study suggests that there is something in Korean culture which can favours this insertion : in Korea, writing has never been separated from painting. It seems that in Korea, there has been no clear separation between written culture and visual culture. But this point must be approached more carefully and needs profound researches.

• Information Systems Review
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• v.17 no.3
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• pp.77-94
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• 2015

As Internet has become a popular media for sharing information, users create and share tremendous volume of information including large amount of personal information in cyberspace. Sharing private information online can enhance strength of social relationship but it could also bring negative consequences like information privacy invasion. Although many companies and governments address the importance of information privacy online, there are countless cases of crimes and hackings relating personal information online world wide. Since there are some researches investigating the role of governments and organizations on online privacy domain but there is little research regarding users' privacy protection behaviors. This study investigates relationship between Internet users' information privacy protection behavior and environmental factors. Especially, this study focuses on users' behaviors regarding information privacy protection technology adoption. According to our research results, users' online privacy protective behaviors positively affected by governmental regulations expressed as an information privacy protection law. In addition, if user is allowed to use anonymity when he or she uses online services, they have more tendencies to adopt privacy protection technologies. The detailed research findings and contribution are discussed as well.

• Korean Journal of Child Education & Care
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• v.19 no.1
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• pp.45-57
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• 2019

Objective: The purpose of this study is to critically analyze the process of framing child abuse cases through the news coverage after the enforcement of mandatory CCTV installation policy which was initiated in 2015. Methods: The research uses the revised and supplemented frame analysis tools developed by Iyengar (1990) and Semetko and Valkenburg (2000) to investigate 25 broadcasting news reported by KBS, from September 2015 to December 2017. Results: First, according to the formal analysis, the reports on abuse cases prove to be either a mixed or episodic frame which covers the cases heavily based on a particular incident rather than holistically looks into the situation. Second, in content analysis, child abuse news is delivered mainly through "human interest frame." Conclusion/Implications: The study identifies three dominant discourses formed as a result of the child abuse CCTV news: 'CCTV is a all-around player' discourse, 'preschool teachers as potential criminals' discourse and 'preschool teachers as nonprofessionals' discourse. This study is significant in that it presents that mass media do not always say the truth, but frame social issues within an ideological delivery system.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.21-33
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• 2022

Recently, the recommender system has been widely used in various fields such as movies, music, online shopping, and social media, and in the meantime, the recommender model has been developed from correlation analysis through the Apriori model, which can be said to be the first-generation model in the recommender system field. In 2005, many models have been proposed, including deep learning-based models, which are receiving a lot of attention within the recommender model. The recommender model can be classified into a collaborative filtering method, a content-based method, and a hybrid method that uses these two methods integrally. However, these basic methods are gradually losing their status as methodologies in the field as they fail to adapt to internal and external changing factors such as the rapidly changing user-item interaction and the development of big data. On the other hand, the importance of deep learning methodologies in recommender systems is increasing because of its advantages such as nonlinear transformation, representation learning, sequence modeling, and flexibility. In this paper, among deep learning methodologies, RNN, CNN, and GAN-based models suitable for sequential modeling that can accurately and flexibly analyze user-item interactions are classified, compared, and analyzed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.65-74
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• 2017

There have been questions how entrepreneurs think, act and why individuals become entrepreneurs. The trait-based explanation of entrepreneurial activities has been main stream. However, the trait-based theory has been criticized because it assumes that entrepreneurial traits are inherited, stable and enduring over time. This research accepts the cognitive theory to see how entrepreneurs learn or accept others' values, how entrepreneurial perceptions of opportunity impact entrepreneurial actions and how individuals acquire the social legitimation of the formation of entrepreneurial activities. In order to capture the attitudes, activities and motivations of people who are involved in entrepreneurial activities, the author uses the GEM Korea 2016 data. The data from the Global Entrepreneurship Monitor(GEM) has been well known for the data to capture individuals early-stage entrepreneurial activities. This paper used the sample from the APS(Adult Population Survey) of the GEM which was completed by a representative sample of two thousand adults in Korea by the qualified survey vendor, with strict procedures and oversight by the GEM central data team. The hypotheses are tested with logit regression analysis to estimate the probability of the influence of perceptual variables such as individual perception in social learning, the opportunity recognition in the environment, and social legitimation in the entrepreneurial activities. Based on the results, individuals tend to have high entrepreneurial activities if individuals have high self-efficacy. Also, the existence of role models around the entrepreneurs encourages the individuals involve in entrepreneurial activities more however the perception of opportunity in the environment is not strongly associated with entrepreneurial activities. The media exposure of successful entrepreneurs is more important than others' perception of entrepreneurs on the desirable career option or respect from communities. This paper can contribute to the cognitive processes, particular perception about oneself, as well as perception which is impacted by a community or a society.