• Journal of Information Science Theory and Practice
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• v.7 no.2
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• pp.40-53
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• 2019

Although fake news has been present in human history at any time, nowadays, with social media, deceptive information has a stronger effect on society than before. This article answers two research questions, namely (1) Is the dissemination of fake news supported by machines through the automatic construction of filter bubbles, and (2) Are echo chambers of fake news manmade, and if yes, what are the information behavior patterns of those individuals reacting to fake news? We discuss the role of filter bubbles by analyzing social media's ranking and results' presentation algorithms. To understand the roles of individuals in the process of making and cultivating echo chambers, we empirically study the effects of fake news on the information behavior of the audience, while working with a case study, applying quantitative and qualitative content analysis of online comments and replies (on a blog and on Reddit). Indeed, we found hints on filter bubbles; however, they are fed by the users' information behavior and only amplify users' behavioral patterns. Reading fake news and eventually drafting a comment or a reply may be the result of users' selective exposure to information leading to a confirmation bias; i.e. users prefer news (including fake news) fitting their pre-existing opinions. However, it is not possible to explain all information behavior patterns following fake news with the theory of selective exposure, but with a variety of further individual cognitive structures, such as non-argumentative or off-topic behavior, denial, moral outrage, meta-comments, insults, satire, and creation of a new rumor.

• Journal of Preventive Medicine and Public Health
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• v.54 no.1
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• pp.22-30
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• 2021

Objectives: The coronavirus disease 2019 (COVID-19) pandemic is a public health emergency posing unprecedented challenges for health authorities. Social media may serve as an effective platform to disseminate health-related information. This study aimed to assess the extent of social media use, its impact on preventive behavior, and negative health effects such as cyberchondria and information overload. Methods: A cross-sectional observational study was conducted between June 10, 2020 and August 9, 2020 among people visiting the outpatient department of the authors' institution, and participants were also recruited during field visits for an awareness drive. Questions were developed on preventive behavior, and the Short Cyberchondria Scale and instruments dealing with information overload and perceived vulnerability were used. Results: The study recruited 767 participants with a mean age of about 45 years. Most of the participants (>90%) engaged in preventive behaviors, which were influenced by the extent of information received through social media platforms (β=3.297; p<0.001) and awareness of infection when a family member tested positive (β=29.082; p<0.001) or a neighbor tested positive (β=27.964; p<0.001). The majority (63.0%) of individuals often searched for COVID-19 related news on social media platforms. The mean±standard deviation scores for cyberchondria and information overload were 9.09±4.05 and 8.69±2.56, respectively. Significant and moderately strong correlations were found between cyberchondria, information overload, and perceived vulnerability to COVID-19. Conclusions: This study provides evidence that the use of social media as an information- seeking platform altered preventive behavior. However, excessive and misleading information resulted in cyberchondria and information overload.

• Journal of Korean Library and Information Science Society
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• v.55 no.2
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• pp.83-107
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• 2024

In this study, we aim to comprehensively examine how court libraries can enhance their function and role as a hub for judicial information sharing. To achieve this, the current status was holistically understood based on literature review, case studies, interviews with stakeholders, and surveys targeted at users. The study sought to explore and present ways in which court libraries can play a central role in the dissemination and sharing of legal knowledge. As a result of the research, we propose four roles of the judicial information sharing complex center as a court library, five functions of the judicial information sharing complex center, and nine strategies to enhance accessibility for the spread of legal culture. If court libraries function as next-generation shared complex centers with the goal of popularizing legal knowledge culture, it would be possible to expand access to legal knowledge for citizens interested in law and culture, professionals in legal and educational institutions, and residents living near the center.

• Smart Media Journal
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• v.4 no.4
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• pp.70-79
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• 2015

The Construction Project Information System(CPIS), an information system constructed as part of the Construction Continuous Acquisition & Life-cycle Support(CALS) of the Ministry of Land, Infrastructure, and Transport(MOLIT), is designed to digitize construction projects across all stages, and enable sharing of information so as to enhance the productivity and efficiency of construction projects and secure their transparent administration. One of MOLIT's internal work systems, CPIS focuses on work-handling and data management. However, now over 10 years old after its construction, it focuses on text and document-based construction project information, but it cannot be interfaced with the visualization-based GIS, which limits the sharing and dissemination of information and the determination of the overall construction project status. To resolve the existing CPIS limitations and problems and to upgrade the system, this study examined domestic and overseas GIS technology trends and relevant information systems, and analyzed the CPIS status and problems. It thus proposed total GIS application measures to upgrade CPIS. Also, it identified detailed CPIS utilization measures and GIS application measures by unit system, and analyzed considerations for GIS application.

• Fashion & Textile Research Journal
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• v.19 no.2
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• pp.180-193
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• 2017

The increase use of smartphones has paved the way for quick dissemination of online information. This has a huge influence on consumers' purchase decision making and the formation of a company's image. As such, this study focuses on product review from mobile beauty applications(apps); in particular, the perceived information authenticity. The purpose is as follows. First, to examine if there is any difference in perceived information authenticity based on the types of product review. Second, to analyze how perceived information authenticity influences brand attitude, purchase intention, and electronic word of mouth(e-WOM) intention. The study targets consumers in their 20s and 30s who have experience buying a product via a mobile beauty app. Three hundred responses are analyzed using SPSS 21.0 and AMOS 18.0. The results reveal that, first of all, consumers derive higher perceived information authenticity from a multi-facet review rather than a double-facet review. Second, among the traits of perceived information authenticity, only a brand's perceived reliability has a significant influence on brand attitude. Third, this brand attitude has a positive influence on purchase intention and e-WOM intention. In conclusion, these findings can serve as an important discussion point for companies developing a mobile beauty app, drawing attention to perceived information authenticity, based on the types of product review.

• Journal of Information Science Theory and Practice
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• v.4 no.3
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• pp.71-83
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• 2016

Purpose. The purpose of this paper is to analyze and evaluate discovery layer search tools for retrieval of legal information in Indian law libraries. This paper covers current practices in legal information retrieval with special reference to Indian academic law libraries, and analyses its importance in the domain of law.Design/Methodology/Approach. A web survey and observational study method are used to collect the data. Data related to the discovery tools were collected using email and further discussion held with the discovery layer/ tool /product developers and their representatives.Findings. Results show that most of the Indian law libraries are subscribing to bundles of legal information resources such as Hein Online, JSTOR, LexisNexis Academic, Manupatra, Westlaw India, SCC web, AIR Online (CDROM), and so on. International legal and academic resources are compatible with discovery tools because they support various standards related to online publishing and dissemination such as OAI/PMH, Open URL, MARC21, and Z39.50, but Indian legal resources such as Manupatra, Air, and SCC are not compatible with the discovery layers. The central index is one of the important components in a discovery search interface, and discovery layer services/tools could be useful for Indian law libraries also if they can include multiple legal and academic resources in their central index. But present practices and observations reveal that discovery layers are not providing facility to cover legal information resources. Therefore, in the present form, discovery tools are not very useful; they are an incomplete and half solution for Indian libraries because all available Indian legal resources available in the law libraries are not covered.Originality/Value. Very limited research or published literature is available in the area of discovery layers and their compatibility with legal information resources.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.3
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• pp.45-62
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• 2019

Rapid development and dissemination of ICT have brought about vast change in people's lives, including academic research and communication. Considering that the purpose of constructing Internet was to facilitate information exchange among research institutions and to secure stability through distributed preservation of critical information of the countries, increase in utilizing Internet resources for academic research seems to be natural consequences. This study examines the stability of Internet information resources by analyzing the following four factors. First, monitoring whether there is a change in accessibility to information resource as time passes. Second, examining various factors affecting the accessibility. Third, checking if there is a change in the content of information, if still accessible. Lastly verifying if any alternative access path is provided in case of original resource is no longer accessible.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.2996-3011
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• 2017

With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.3
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• pp.872-885
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• 2015

The rapid increase of smart mobile devices and mobile applications has led to explosive growth of data traffic in cellular network. Offloading data traffic becomes one of the most urgent technical problems. Recent work has proposed to exploit opportunistic communications to offload cellular traffic for mobile data dissemination services, especially for accepting large delayed data. The basic idea is to deliver the data to only part of subscribers (called target-nodes) via the cellular network, and allow target-nodes to disseminate the data through opportunistic communications. Human mobility shows temporal and spatial characteristics and predictability, which can be used as effective guidance efficient opportunistic communication. Therefore, based on the regularity of human mobility we propose NodeRank algorithm which uses the encounter characteristics between nodes to choose target nodes. Different from the existing work which only using encounter frequency, NodeRank algorithm combined the contact time and inter-contact time meanwhile to ensure integrity and availability of message delivery. The simulation results based on real-world mobility traces show the performance advantages of NodeRank in offloading efficiency and network redundant copies.

• Journal of Satellite, Information and Communications
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• v.10 no.4
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• pp.23-27
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• 2015

This paper, discusses about the implementation of the remote control LED Lights in elevator facility Since 1990, the elevator dissemination has greatly increasing. Currently in the elevator most of people they can use smart devices anytime or anywhere to view and retrieve the information by using internet. Therefore, in this paper, efficient management of power LED and LED remote control LED lighting fluid, in order to control features and smart devices can be applied to Web services platform and OS-specific proposals. Additionally based on the configured UI technology and programs offered by the present, and the LED lights are offered through the simulation to efficiently manage technology to demonstrate the usefulness.