• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.1-13
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• 2023

This study determines how social media users (SMUs) verify the information they come across on the Internet. It determines SMUs' perception of online fact-checking services in terms of their ease of use, usefulness, and trust. By conducting a focus group discussion and key informant interviews, themes were derived in determining fact-checking practices while a survey was further conducted to determine such perceived ease of use, usefulness, and trust in fact-checking services. The thematic analysis revealed major information verification practices, such as cross-checking and verifying with other sources, inspecting comments and reactions, and confirming from personal and social networks. The results showed that SMUs considered fact-checking services easy to use. However, a concern was raised about their usefulness stemming from the delayed action in addressing the information issues that need to be verified. As to perceived trust, it was found that SMUs have reservations about fact-checking services. Finally, it is believed that fact-checking services are expected to be credible and need to be promoted to mitigate any form of fake news, particularly on social media platforms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2285-2301
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• 2012

Peer-to-Peer (P2P) networks are becoming more and more popular in video content delivery services, such as Video on Demand (VoD). Scalability feature of P2P allows a higher number of simultaneous users at a given server load and bandwidth to use stream service. However, the quality of service (QoS) in these networks is difficult to be guaranteed because of the free-riding problem that nodes download the recourses while never uploading recourses, which degrades the performance of P2P VoD networks. In this paper, a distributed trust model is designed to reduce node's free-riding phenomenon in P2P VoD networks. In this model, the P2P network is abstracted to be a super node hierarchical structure to monitor the reputation of nodes. In order to calculate the reputation of nodes, the Hidden Markov Model (HMM) is introduced in this paper. Besides, a distinction algorithm is proposed to distinguish the free-riders and malicious nodes. The free-riders are the nodes which have a low frequency to free-ride. And the malicious nodes have a high frequency to free-ride. The distinction algorithm takes different measures to response to the request of these two kinds of free-riders. The simulation results demonstrate that this proposed trust model can improve QoS effectively in P2P VoD networks.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.21-34
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• 2011

Spam refers to any unwanted or unauthorized commercial messages. Spam may violate individuals' privacy or other personal rights. Spam often overloads network traffic, wastes individuals' time, lowers productivity and quality of life, and limits the trustworthiness of Internet businesses. As the use of mobile messaging services and social networking services both on mobile communication networks and on the Internet increase, newer and more complex types of IT applications and services are often used as new means of spam. In this research, the characteristics and impact of new and future forms of spam, and anti-spam related policies and regulations are surveyed. To improve the effectiveness of anti-spam policies and regulations in Korea, adding a definition of spam in the law, changing policies to focus on the 'type of services' rather on the medium of transmission, and redefining the scope of 'commercial purposes' in Korean law are suggested.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.131-140
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• 2009

Recently, the information visualization research community has given significant attention to graph visualization, especially visualization of social networks. However, visualization of information flows in a very large social network has not been studied in depth. However, information flows are tightly related to the structure of social networks and it shows dynamic behavior of interactions between members of social networks. Thus, we can get much useful information about social networks from information flows. In this paper, we present our research result that enables users to navigate a very large social network in Google Maps' method and to take a look at information flows on the network. To this end, we devise three techniques; (i) mapping a very large social network to a 2-dimensional graph layout, (ii) exploring the graph to all directions with zooming it in/out, and (iii) building an efficient query processing framework. With these methods, we can visualize very large social networks and information flows in a limited display area with a limited computing resources.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.77-85
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• 2013

This paper proposes a closeness centrality analysis algorithm for workflow-supported social networks that represent the collaborative relationships among the performers who are involved in a specific workflow model. The proposed algorithm uses the social network analysis techniques, particularly closeness centrality equations, to analyze the closeness centrality of the workflow-supported social network. Additionally, through an example we try to verify the accuracy and appropriateness of the proposed algorithm.

• Journal of Korean Public Health Nursing
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• v.20 no.1
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• pp.5-15
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• 2006

Purpose: The objectives of this study was to measure the outcomes of interventions on the health and social welfare of the elderly in a rural community in Korea. The project involved integrating services of one public health center with that of one social welfare agency, which were under different administrative structures. Method: A single group pretest-posttest design was used for this research. Seventy-five elderly residents living alone in a rural community participated in the study. All of them had coverage of free basic medical care and social welfare services by the government. Major activities for the intervention included: developing partnerships among community leaders/institutes; forming committees of community residents; educating care providers and volunteers; developing 8 integrated service programs and instruments; and organizing the networks. The 20-month intervention was care-managed by a public health nurse whom collaborated with social worker, and was assisted by volunteers. The t-test was utilized to analyze the outcome variables including the elder's health, social welfare and quality of life. A major limitation of this study was the lack of a control group. Results: The outcome of the intervention was shown by improved elder's health, social welfare needs, and quality of life. Integrating the services of public health centers with those of social welfare agencies is an effective way to improve the health of the elderly in the community. Conclusion: Developing community capacity with such integrated services will pay an important role in improving the health of the elderly who live alone.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.145-164
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• 2013

With the rapidly expanding social network service, the distribution of information shows that social networks have evolved into platforms of communication and new information sharing among users. Previous studies are focused on the motivational factors of information sharing through social networking service. However, in this study, we focus on the factors that affect intention to share information in terms of both user's psychological motivation and functional characteristics of social network service. This study shows that factors such as enjoyfulness, image, identity and communication positively affect the attitude and intention of information sharing.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.163-177
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• 2021

Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.67-73
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• 2015

In this paper, we propose a disconnectedness determination algorithm for workflow-supported enterprise social networks. this networks can be discovered from the work-allocation relationships between activities and performers in workflow procedures and It networks are useful to analyze, evaluate and numerically explain the work-performance of performers. But there could be the disconnectedness due to the characteristics of workflow, and therefore analysis result of performers can be inappropriate logically as well as mathematically. So, we have to decide whether or not this network is disconnectedness before we analyze workflow-supported enterprise social networks. Conclusively, we try to carry out a thorough investigation into the formation reasons of the disconnectedness, and propose a determination algorithm of the disconnectedness for workflow-supported enterprise social networks.

• Journal of agricultural medicine and community health
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• v.16 no.2
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• pp.125-133
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• 1991

The medical insurance system has been adopted in rural areas in 1988. Since then, the utilization of medical care services has increased rapidly in rural areas. According to the various study on medical care utilization, the people in rural areas used more curative care services than urban areas. The purpose of this study was to analyze the utilization and expenses of medical care services in designated rural areas : Choonseong Gun, Kangwon Province ; and Soonchang Gun, Cheonbuk province in Korea. Medical care utilization of medical care beneficiaries showed slightly increase, while there was a decrease of 18% and more for the medicaid. Regarding selection of medical care institutions, medical care beneficiaries used more hospitals and clinics than health center networks, but the health center networks was used more by the medicaid. However, the hospitalized Soonchang health center was able to provide more curative care to the people than the other two health centers. More than 50% of the patients treated by hospitalized health center were residents of the place in which health center was located.