• Asia pacific journal of information systems
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• v.32 no.4
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• pp.945-963
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• 2022

With the widespread use of social media, online social platforms like Twitter have become a place of rapid dissemination of information-both accurate and inaccurate. After the COVID-19 outbreak, the overabundance of fake information and rumours on online social platforms about the COVID-19 pandemic has spread over society as quickly as the virus itself. As a result, fake news poses a significant threat to effective virus response by negatively affecting people's willingness to follow the proper public health guidelines and protocols, which makes it important to identify fake information from online platforms for the public interest. In this research, we introduce an approach to detect fake news using deep learning techniques, which outperform traditional machine learning techniques with a 93.1% accuracy. We then investigate the content differences between real and fake news by applying topic modeling and linguistic analysis. Our results show that topics on Politics and Government services are most common in fake news. In addition, we found that fake news has lower analytic and authenticity scores than real news. With the findings, we discuss important academic and practical implications of the study.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.7
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• pp.157-164
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• 2020

As the consumption of fishery products continues to increase, aquaculture industry has emerged instead of fishing industry facing limitations of fish stock resources. Recently, smart fish farming industry has rapidly developed through convergence with 4th Industrial Revolution technology. Accordingly, it is important to derive a future model of smart fish farming platforms in order to secure the superiority of the aquaculture industry and the technology standard hegemony. In this study, the future direction of smart fish farm platform was derived through the analysis of environment related to politics, economy, society, and technology related to smart fish farming by applying PEST methodology of macro-environment analysis. It is expected that it will help the public and industrial circles in planning and implementing related projects by including the entire process of value chain of aquaculture industry of breeding, production, management and distribution, and by presenting advanced models based on artificial intelligence and digital twin.

• The Journal of Information Systems
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• v.17 no.2
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• pp.95-112
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• 2008

The development of the Information Technology(IT) has brought enormous change to the human life, not even only to the politics, economy, society, and cultures, but all the way through the people's consciousness and cultural patterns. However, the information society resulted information inequality issues and especially to those disabled people, who have more difficulties on the technology adaptation, the "digital divide" symptom is significantly found. At present the rapid development of IT has gone beyond the level of the information society and it is accelerating the ubiquitous society that will combine people, computers, and all objects into one. And during the time of ubiquitous the "digital divide" will still exist. This research is focused on the digital divide of disabled people that were insufficiently covered in the research of digital divide and ubiquitous. From the empirical study of the effect that the disabled contributes on the service usability in U-City, the factors of background of the digital divide, and the difference of such factors in types of sex, ages, disabled types, and disabled class, and finally how the ubiquitous divide of the disabled affects have been researched. Based on the proposed study model and by analyzing the model by structural equation, following resulted was gained. (1) With the TAM (TAM : Technology Acceptance Model), which is commonly used in the studies of IT devices and services, the digital divide of the disabled cases cannot be identified sufficiently since it is not eligible for Using Intention of U-City Services. (2) In case of the disabled, the mental factors like willingness to overcome the impediment and accessibility like environment to meet the information services and ability to access the services are more effective on Using Intention of U-City Services rather than TAM.

• STI Policy Review
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• v.6 no.2
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• pp.54-86
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• 2015

The study examines the U.S. Small Business Innovation Research (SBIR) program, with a focus on the recent Reauthorization, and compares, in the political context, the U.S. and East Asian countries-Japan, Korea and Taiwan-that adopted the U.S. SBIR program. For the systematic analysis and cross-country comparison, the study employs Kingdon (2003)'s framework-his political theory and Garbage Can Model-to identify political participants and processes underlying the SBIR Reauthorization and to analyze the differences in problem, policy, and politics streams between the U.S. and East Asian countries. For the cross-country comparison, specifically, the study uses various data sources such as OECD, Global Entrepreneurship Monitor, Hofstede's Cultural Dimensions, and World Value Survey. Based on the analysis outcomes, implications of U.S. practices on East Asian countries are extracted as follows. East Asian countries tend to: Have higher entrepreneurial aspiration while lower entrepreneurial activity and attitude than the U.S.; bear higher long term orientation and uncertainty avoidance while lower individualism than the U.S.; and have greater expectations of technology development and higher confidence in political parties while participating less in political action than the U.S. Drawing on the differences, the following policy recommendations are suggested. East Asian countries should: Improve entrepreneurs' access to resources (in particular, financial resource) in order to link their high entrepreneurial aspiration to actual entrepreneurial activities; cultivate failure-tolerating culture and risk-taking entrepreneurs, for instance, by providing a second chance to SBIR-participating businesses that failed to materialize their innovative ideas; and leverage their high expectations of new technology in order to take bold actions regarding their SBIR programs, and update the programs by drawing out constructive dialogues between SBIR stakeholders.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.2
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• pp.214-221
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• 2015

A new classification system with 9 main categories and 56 subcategories for the Open Korean Knowledge Dictionary is proposed. The classification system setup is to prepare for the standard classification system to be used to manage effectively vast of terminologies which were published in the Open Korean Knowledge Dictionary and is meant to enhance the fifteen-year old classification system for the standard korean great dictionary to match up to the trend of the modern terminology. The new terminology classification system covering all the academic areas such as humanity, sociology, politics, science, medicine, agriculture, engineering, etc, is designed and proposed after investigating several classification systems. The classification system setup procedures follow as ${\circ}$ The classification system is designed and planed by both the classification system and the academic expert. ${\circ}$ Classification system design covers all the academic areas following National Science and Technology standard classification system after investigating several classification systems such as the National Research Foundation, National Science and Technology Standard Act, Ministry of Knowledge Economy. ${\circ}$ Poll and survey is made to collect comments from total 93 members of several academic areas. ${\circ}$ The poll result is reviewed among working group members and utilized to update the new terminology classification system. Reclassifications are made for the around 200,000 terms in electricity, computer, medicine, pharmacy, biology, and economics according to the new terminology classification system.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.2
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• pp.173-184
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• 2015

This study examined the impacts of the cultural proximity of Chinese consumers on the image of both country and product, and investigated how they are related to purchase intention of Korea fashion. Subjects were Chinese female consumers in their 20s and 30s, living in Yangtze River delta and Seoul. The results of the study were as follows: 1) The cultural proximity had a significant influence on the country image and fashion product image. Chinese consumers with more emotional proximity had more positive attitude towards country image, such as politics, economics, technology, cultures and people image. And consumers who had higher interest in Korea and Korean culture evaluated the quality, design, value and reputation of Korean fashion more positively. 2) Chinese consumers with positive attitude towards people, technology and culture image seemed to prefer fashion product. Specifically, the dimensions of country image had a different influence on the fashion product image such as product quality, design, value, reputation. 3) The Korea country image and fashion product image had also affected on purchase intention of Korean fashion products. Consumers with positive attitude towards people and technology image had higher purchase intention of Korea fashion products. And consumers with positive attitude towards reputation, value and design of fashion products had higher purchase intention of fashion products.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.211-215
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• 2021

The number of megacities are increasing, due to the global urbanization. Along with this change, climate change, social development and technology advance make the calamities complicated and more devastating. Especially, megacities are hyper-netted, hyper-connected and hyper-converged with population more than 10 million and their domain. When calamities break out, the damage will be aggravated for they lead to another ones. Since megacities are the center of politics, economics and culture of a nation. so when complex disaster break out in megacities, this may be developed to a peril to the national security. Therefore, pan-government effort must be concentrated in preparing abilities to forecast, react, rapid response and resilience.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.199-204
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• 2023

The COVID-19 pandemic, which began in early 2020, became an opportunity for unprecedented global reflection and change. And it served as an opportunity to promote a new paradigm in all areas of society, including politics, economy, culture, and industry. In the midst of this upheaval, the 2022 IAA exhibition, which was held in four years, was held as an exhibition that even proposed new concepts of smart logistics and mobility services. Among them, various concepts were also proposed in exhibitions related to last mile mobility, the focus of this study.As a result of this study, the main trend of last mile mobility shown in the IAA 2022 exhibition is that the property of physical products with functions as social interfaces is expanding into the PSS (Product-Service System) ecosystem in which products and services are systematically linked. As a result, the need for a methodological approach that can organically link the design planning of social services and the development of products corresponding to it was derived.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1433-1449
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• 2023

In recent years, the rapid development of social networks has led to a rapid increase in the amount of information available on the Internet, which contains a large amount of sensitive information related to pornography, politics, and terrorism. In the aspect of sensitive image detection, the existing machine learning algorithms are confronted with problems such as large model size, long training time, and slow detection speed when auditing and supervising. In order to detect sensitive images more accurately and quickly, this paper proposes a multiclassification sensitive image detection method based on lightweight Convolutional Neural Network. On the basis of the EfficientNet model, this method combines the Ghost Module idea of the GhostNet model and adds the SE channel attention mechanism in the Ghost Module for feature extraction training. The experimental results on the sensitive image data set constructed in this paper show that the accuracy of the proposed method in sensitive information detection is 94.46% higher than that of the similar methods. Then, the model is pruned through an ablation experiment, and the activation function is replaced by Hard-Swish, which reduces the parameters of the original model by 54.67%. Under the condition of ensuring accuracy, the detection time of a single image is reduced from 8.88ms to 6.37ms. The results of the experiment demonstrate that the method put forward has successfully enhanced the precision of identifying multi-class sensitive images, significantly decreased the number of parameters in the model, and achieved higher accuracy than comparable algorithms while using a more lightweight model design.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.1-32
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• 2018

This study has been motivated by the awareness that studies on science and technology policy do not have an independent academic identity in Korea as of 2017. This research has been analyzed 19 books that have covered science and technology policy published in Korea and explored whether those have a definition of discipline and core research scope which are the key elements forming academic paradigm. As a result, this study concludes provisionally that studies on science and technology policy in Korea are still at a stage that has not yet formed a paradigm. Therefore, this work newly proposes the definition of discipline and research scope necessary to complete the paradigm of studies on science and technology policy based on this conclusion. This paper has firstly defined that studies on science and technology policy are the policy-oriented discipline. It is (1) promoting the development of science and technology itself by studying and analyzing the various phenomena of politics, economy, society, and culture related to science and technology activities as well as science and technology and (2) makes the national and public sector improve problem-solving competence using science and technology. This work also proposes a research scope consisting of four research areas such as (1) policy process of science and technology, (2) public management of science and technology, (3) R&D management and (4) technology innovation. 'Policy process of science and technology' and 'public management of science and technology' among four research areas are the new research ones reflecting the definition of studies on science and technology policy proposed in this paper. Additionally 'R&D management' and 'technology innovation' are the traditional research areas which have also included existing researches regarding science and technology policy.