• Journal of the Korean Society for Library and Information Science
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• v.39 no.4
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• pp.177-192
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• 2005

Traditional paper records have two aspects such that the paper records are information, and are information media itself. The preservation media for the paper records seems to be another forms for original ones including microfilm and optical disks. On the other hand, new-coming electronic records lack the aspect of information media. To guarantee the existency of the original electronic records we need the preservation media for the electronic records, different from the media for the traditional paper records. The preservation media helps the Authenticity, integrity, and usability as well. This paper describes the need for the preservation media, identifies problems on the existing concept for them, derives the principles to resolve the problems, and suggests the management policy based on the principles.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.189-195
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• 2024

The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.45-55
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• 2019

Currently there are many groups of Indonesian faculty members on social media. This research aims to find out the information behavior of Indonesian faculty members on social media, especially on Facebook, Telegram, and WhatsApp. The focus of this research is in-depth understanding of the needs, search, organization, and use of information by Indonesian faculty members on social media. This research is qualitative research using a virtual ethnographic approach. The research data was obtained through participatory observation, in-depth interviews, and a literature review. The selection of informants was done by purposive sampling, while triangulation was done by data sources and theories triangulation. The results showed that the information behavior of Indonesian faculty members on social media began with the need for information, choosing social media, choosing and entering into one or several groups, sharing information, and discussing in a group. Some faculty members keep the information, and some choose to ask when they need the information, even though the information has been discussed. The information obtained is used when they need it, and they usually share their experiences with other group members.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.1-13
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• 2023

Being one of the first and hardest hit countries by the coronavirus, Iran still continues to preserve its place among nations with the highest rates of infection and COVID-19 related deaths. While on the surface, such worrying status evinces the failure of the authorities in handling the crisis, at deeper levels, it points to the fundamentalist nature of the government and political system of the country. In this view, the current devastating condition in Iran is a clear indication of the all-out influence of the Islamic regime's ideologies on officials' decision-making and their political agendas throughout the pandemic. Accordingly, the staterun mainstream media, as the most preeminent institution of power, have been incessantly engaged in disseminating a series of ideology-laden information around the issues concerning the coronavirus, and in line with the developing political discourses during pandemic. Far from being based on factual accounts or scientific facts, these disseminated messages inevitably grew into a source of disinformation, ultimately resulting in overall public confusion and skepticism. Through examining the data gathered from some of the most prominent online news agencies run by the government, this study identifies five major discursive trends through which the mainstream media propagated ambiguous and manipulative information about COVID-19. These findings are then explained in the light of media system dependency theory, leading to the argument that within autocratic nation-states, public reliance on media during a national/global crisis brings about new opportunities for state exploitation, and further distressing consequences for the people.

• Journal of Information Science Theory and Practice
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• v.6 no.3
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• pp.25-36
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• 2018

Anonymity plays an increasingly important role on social media. This is reflected by more and more applications enabling anonymous interactions. However, do social media users behave different when they are anonymous? In our research, we investigated social media services meant for solely anonymous use (Jodel) and for widely spread non-anonymous sharing of pictures and videos (Instagram). This study examines the impact of anonymity on the behavior of users on Jodel compared to their non-anonymous use of Instagram as well as the differences between the user types: producer, consumer, and participant. Our approach is based on the uses and gratifications theory (U>) by E. Katz, specifically on the sought gratifications (motivations) of self-presentation, information, socialization, and entertainment. Since Jodel is mostly used in Germany, we developed an online survey in German. The questions addressed the three different user types and were subdivided according to the four motivation categories of the U>. In total 664 test persons completed the questionnaire. The results show that anonymity indeed influences users' usage behavior depending on user types and different U> categories.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.358-368
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• 2022

Social media is a window for everyone, individuals, communities, and companies to spread ideas and promote trends and products. With these opportunities, challenges and problems related to security, privacy and rights arose. Also, the data accumulated from social media has become a fertile source for many analytics, inference, and experimentation with new technologies in the field of data science. In this chapter, emphasis will be given to methods of trend analysis, especially ensemble learning methods. Ensemble learning methods embrace the concept of cooperation between different learning methods rather than competition between them. Therefore, in this chapter, we will discuss the most important trends in ensemble learning and their applications in analysing social media data and anticipating the most important future trends.

• Asian Journal of Innovation and Policy
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• v.11 no.2
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• pp.202-221
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• 2022

The media has depicted an abrupt socio-technological change in the Republic of Korea with the 4th Industrial Revolution. Because technologies cannot realize their potential without social acceptance, studying conflicts incurred by such a change is imperative. However, little literature has focused on conflicts caused by technologies. Therefore, the current study investigated media coverage regarding conflicts related to the 4th Industrial Revolution from 2016 to 2020 in the Republic of Korea, applying text-mining techniques. We found that the overall amount and coverage pattern conforms to the issue attention cycle. Also, the three major topics ("SMEs & Startups," "Mobility Conflict," and "Human & Technology") indicate quarrels between conflicting social entities. Moreover, the temporal change in media coverage implies the political use of the term rather than technological. However, we also found the media's deliberative discussion on the socio-technological impact. This study is significant because we expanded the discussion on media coverage of technologies to the realm of social conflicts. Furthermore, we explored the news articles of the recent five years with a text-mining approach that enhanced the objectivity of the research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2558-2573
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• 2019

We present a deep CNN-based approach for classifying artistic media from artwork images. We aim to classify most frequently used artistic media including oilpaint brush, watercolor brush, pencil and pastel, etc. For this purpose, we extend VGGNet, one of the most widely used CNN structure, by substituting its last layer with a fully convolutional layer, which reveals class activation map (CAM), the region of classification. We build two artwork image datasets: YMSet that collects more than 4K artwork images for four most frequently used artistic media from various internet websites and WikiSet that collects almost 9K artwork images for ten most frequently used media from WikiArt. We execute a human baseline experiment to compare the classification performance. Through our experiments, we conclude that our classifier is superior in classifying artistic media to human.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.228-231
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• 2021

인물의 행동 및 이동을 인식하는 것은 다양한 분야에서 활용될 수 있다. 사람의 행동을 파악하여 니즈를 예상하고 맞춤형 콘텐츠를 제공하거나 행동을 예측하여 범죄나 폭력을 예방하는 등 여러 방면으로 활용 가능하다. 그러나 이동과 현재 위치 정보만으로 인물의 행동을 예측하기에는 한계가 있다. 본 논문에서는 실시간으로 사람의 이동과 행동을 인식하기 위해 Kinect v2가 제공하는 관절 정보와 YOLOv3를 이용하여 실시간으로 사람의 행동을 인식하는 시스템을 제작하였다.

• Human Ecology Research
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• v.55 no.6
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• pp.567-580
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• 2017

This study explored the influence of adolescent depression on adult media addiction by examining Bronfenbrenner's ecological perspective. The ecological perspective is a useful framework to identify the link between youths' interacting subjects in the ecological environment. It can also be used to understand adolescent problems and addiction behaviors. The current study examined the influence of parents, peers, and teachers on adult media addiction and depression with a focus on micro-systems that have the greatest influence on adolescents among various environmental systems. We analyzed 568 participants who reported exposure to adult media. SPSS 20.0 was used to conduct a descriptive analysis of the data; AMOS 19.0 was used to conduct a confirmatory factor analysis and structural equation model. The results of study are as follows. First, parental abuse and peer alienation significantly increases depression. Second, peer communication significantly decreases depression. Third, parental monitoring and parental affection significantly decreased adult media addiction. Fourth, parental abuse, peer alienation, and depression significantly increased adult media addiction. This study is meaningful in that it examines the influence of parent, peer, and teacher relationships among adolescents on adult media addiction and depression. This study can be helpful to understand adult media addiction and depression among Korean adolescents.