• Journal of Digital Convergence
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• v.17 no.5
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• pp.137-143
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• 2019

Fake news is a form of misinformation that has the advantage of rapid spreading of information on media platforms that users interact with, such as social media. There has been a lot of social problems due to the recent increase in fake news. In this paper, we propose a method to detect such false news. Previous research on fake news detection mainly focused on text analysis. This research focuses on a network where social media news spreads, generates qualities with DeepWalk, a network embedding method, and classifies fake news using logistic regression analysis. We conducted an experiment on fake news detection using 211 news on the Internet and 1.2 million news diffusion network data. The results show that the accuracy of false network detection using network embedding is 10.6% higher than that of text analysis. In addition, fake news detection, which combines text analysis and network embedding, does not show an increase in accuracy over network embedding. The results of this study can be effectively applied to the detection of fake news that organizations spread online.

• Spatial Information Research
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• v.20 no.5
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• pp.99-109
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• 2012

Recently, due to the growth of social media and spread of smart-phone, the amount of data has considerably increased by full use of SNS (Social Network Service). According to it, the Big Data concept is come up and many researchers are seeking solutions to make the best use of big data. To maximize the creative value of the big data held by many companies, it is required to combine them with existing data. The physical and theoretical storage structures of data sources are so different that a system which can integrate and manage them is needed. In order to process big data, MapReduce is developed as a system which has advantages over processing data fast by distributed processing. However, it is difficult to construct and store a system for all key words. Due to the process of storage and search, it is to some extent difficult to do real-time processing. And it makes extra expenses to process complex event without structure of processing different data. In order to solve this problem, the existing Complex Event Processing System is supposed to be used. When it comes to complex event processing system, it gets data from different sources and combines them with each other to make it possible to do complex event processing that is useful for real-time processing specially in stream data. Nevertheless, unstructured data based on text of SNS and internet articles is managed as text type and there is a need to compare strings every time the query processing should be done. And it results in poor performance. Therefore, we try to make it possible to manage unstructured data and do query process fast in complex event processing system. And we extend the data complex function for giving theoretical schema of string. It is completed by changing the string key word into integer type with filtering which uses keyword set. In addition, by using the Complex Event Processing System and processing stream data at real-time of in-memory, we try to reduce the time of reading the query processing after it is stored in the disk.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.47-53
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• 2012

Economic crisis, efforts to overcome the digital content industry development at home and abroad have been racing in the country's future lies in the digital content industry. Therefore, the digital content industry through vision, model identification knowledge-based global digital content market-based deployment is required. For research purposes the digital content industry to derive an alternative to national industrial development that will lay the groundwork. The deployment order for the first digital content industry, SWOT analysis performed to derive the Korean-specific model. As a result, measures based on the advancement of digital content industry as a long-term vision and specific goals are presented as staged. The age of convergence of the u-media content markets in government, corporations, consumers, and these form the structure of a virtuous cycle distribution systems for energy by being active, synergistic effects are obtained. Above all, based on the content industry to secure internal and external growth is key. Vision of the digital content, the growth momentum of the national social development policies to be used as a role model by changing the way a series of courses is required.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.55-64
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• 2017

This study identified the important categories and items about evaluation criteria of e-learning quality assurance by comparing evaluation criteria between Korea and France case. For deriving the conclusion, this research analyzed the Korea quality assurance case which is consist of success or failure for evaluation of quality assurance, and built the generic quality model of e-learning evaluation criteria. A generic model about evaluation criteria, categories, and item of e-learning quality assurance, which should be reflected on French quality criteria, were developed based on statistical approach. This research suggests a evaluation criteria which can be applied to African and Asian countries, that are related to AUF, as well as Korea. The result of this study can be applied to all organizations around the world which prepare for e-learning quality assurance, and at the same time it will be a valuable resource for companies or institutions which want to be evaluated e-learning quality assurance.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.355-360
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• 2021

In this study, the factors of confirmation bias that may occur in the initial user experience stage were analyzed using a honeycomb model by deriving user experience factors for each factor. In the initial user experience stage, confirmation bias occurs in the impression stage. At the processing stage of memory, sensory memory, working memory, and long-term memory, which stores and retrieves selective memory, were closely related. Confirmation bias was classified into visibility, correlation, memory, clarity, and universality in the usability part, and satisfaction, joy, and dissatisfaction were derived as emotional factors. As a result of the analysis with the honeycomb model, visuality, clarity, universality in the usability factor, and joy in the emotional factor had little effect on the confirmation bias, and satisfaction and dissatisfaction were analyzed as the main factors of the confirmation bias in the correlation, memory and emotional factors. This study is meaningful in that it can be usefully used as a reference material for companies that customize design patterns for the factor of confirmation bias.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.457-462
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• 2021

YouTube has established itself as a major media platform. Businesses give more attention to YouTube's influence as marketing using the platform demonstrates positive effects. Accordingly, this study aims to look into how the quasi-social interaction of the users of beauty content on YouTube affect purchase behavior intentions and provide results as basic data for establishing an efficient marketing strategy. Quasi-social interaction exerted significantly positive influence on purchase behavior and purchase intention. This suggests that the stronger the quasi-social interaction becomes, purchase behavior and purchase intention get stronger. Therefore, strategies for facilitating marketing should be devised by increasing efficient quasi-social interaction according to user characteristics.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.397-404
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• 2022

Recently, in the industrial field, various studies are being conducted on converging IIoT devices that combine low-power processes and network cards into industrial sites to improve production efficiency and reduce costs. In this paper, we propose a processing model that can efficiently manage products produced by attaching IIoT sensor information to infrastructure built in industrial sites. The proposed model creates production data using IIoT data collection, preprocessing, characteristic generation, and labels to detect abnormally processed sensing information in real time by checking sensing information of products produced by IIoT at regular intervals. In particular, the proposed model can easily process IIoT data by performing tracking and monitoring so that product information produced in industrial sites can be processed in real time. In addition, since the proposed model is operated based on the existing production environment, the connection with the existing system is smooth.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.21-31
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• 2015

The Journal of Digital Policy & Management. This space is for the abstract of your study in English. Recently, advancements in voice recognition technology lead to a new oral cultural era. Text based on new oral cultures, can bring about a cultural revolution. This research is rooted within the humanistic approach, including oral and text. The goal of the research is the humanistic measurements in regards to these cultural issues. Just like the complementary relationship between oral and text for the future. First of all, we will discuss the aspects that have resulted in the change between a text culture to an oral culture. After checking these changes with regards to voice recognition technology, we will be able to discuss the possibilities and problems of this cultural change. We discussed expected outcomes, such as the complementarity of speaking and writing, the expansion from the private culture to the public culture, the possibilities of a simultaneous concurrency. We also discussed the necessity such as a new semiotic approach of the voice and preparation for the expansion of the world of life. Specifically, the necessity for the advancement and control of the Korean culture against the dominance of a global corporation will be explored. In this study, basic research will be undertaken to look at the possibility of the new voice recognition technology and cultural changes, that are expected to be able to be effectively utilized and continue into more detailed research.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.483-493
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• 2014

In a modern society where various kinds of cultures coexist, kidult culture seeking something pleasant and interesting in the adult culture has made an appearance affected by pop art. The goal of this study is to help the kidult culture carrying on the feature of pop art to promise a bright future in the consumer market and to help kidult marketing through the expansion of globalization of kidult culture goods. The first study method was to refer to the theoretical research material like theses or academic journals to analyze the feature of pop art and cultural phenomenon. The second one was to analyze media reports, TV programs, movies, and ads currently in issue about kidult cultures in news, media data, and internet materials to feel the kidult cultural phenomenon at the moment. The result of this study shows that, especially, popularity, vividness, and sense of humor and wit among the features of pop art have a great influence on the kidult culture. As a result, Firstly, We can expect a vitalization in the consumer market through qualitative and quantitative improvement of kidult consumer culture. Secondly, We should make an effort to expand kidult consumer culture by developing various kinds of culture goods for each age groups. Thirdly, Domestic companies should open up an adult consumer market with self-developed character products. Fourthly, We should make an aggressive marketing strategy for kidult culture goods in the world market in the flow of Hallyu.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.229-235
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• 2019

As the demand for broadband multimedia including the Internet explosively increases, the advancement of the subscriber network is becoming the biggest issue in the telecommunication industry due to the surge of data traffic caused by the emergence of new services such as smart phone, IPTV, VoIP, VOD and cloud services. In this paper, we have developed WDM(Wavelength Division Multiplexing)-PON(passive optical network) based on the 1-Gigabit Reach Externder (RE) technique to reduce optical core. Particularly, in order to strengthen the market competitiveness, we considered low cost, miniaturization, integration technique, and low power of optical parts. In addition, we have developed a batch system by integrating all techniques for reliability, remote management through the development of transmission distance extension and development of capacity increase of optical line by using RE technology in existing PON network. Based on system interworking with existing commercial 1G PON devices, it can be worthy of achievement of wide nationalization and optical core reduction by using this developed system. Based on these results, we are studying development of 10G PON technology.