• Title/Summary/Keyword: Digital Theory

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Towards a Dialogic Approach: Crisis Communications and Public Reactions in the World's Most Densely Populated City to Tackle COVID-19

  • Yuncg, Juliana Qi Xuan;Cheong, Angus Weng Hin;Seng, Athena I No;Li, Kim Jing
    • Asian Journal for Public Opinion Research
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    • v.8 no.3
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    • pp.265-296
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    • 2020
  • Macao, a special administrative region of China, has been able to maintain the records of zero deaths and keep confirmed cases under 50 since the outbreak of COVID-19 for more than half a year as of July 2020, despite being the world's most densely populated city. The current paper utilizes the dialogic public relations theory to analyze the situation using both literature review on how the various government actions and strategies during the pandemic were corresponding to the theory, and a quantitative random digital dialing (RDD) telephone survey, with a sample of 502 Macao residents aged 18 or above, to study the public reactions towards the government pandemic prevention actions. Survey results show a high level of public satisfaction towards epidemic prevention performance, as well as some forms of collaborative information redissemination behavior in social media platforms. Literature review and analysis from dialogic theory found that spirit of mutual equality, collaboration with local community, immediacy of presence in crisis time, engagements with stakeholders through maximum media channels and networks, supportiveness to public with both useful information and practical social support like subsidy program, as well as commitment to transparent and genuine communication, are all the dialogic communications strategies that describe what the Macao government has done in the crisis of COVID-19. The dialogic strategies that could be learned from the Macao government may be used as a reference for similar urbanized and densely populated cities in other territories.

The Future and Prospects of NFT Art : On the basis of Actor-Network Theory (NFT 아트의 미래와 전망 : 행위자네트워크 이론을 중심으로)

  • Cheon, Mi Lim;Kim, Hong Kyu
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.397-405
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    • 2022
  • NFT art is a new art formed based on NFT technology. This is attracting great attention in the existing art world and art market. Therefore, it is required to analyze whether NFT art can establish itself as a new area of art. Therefore, the formation and development process of NFT art is analyzed from the perspective of Actor-Network Theory of Science and Technology and Studies, and the case of NFT artist 'beeple' is a representative example. It also discusses the artistic value of NFT art and its relationship with traditional art networks based on the aesthetics of science and technology researcher Graham Harman. In particular, it analyzes the future and genre sustainability of NFT art through the case of NFT project "Cryptopunks" and "PUNKISM" advocating a new art genre. By analyzing NFT art with ANT, I would like to raise a technical, aesthetic, and philosophical questions and propose a positive prospect as a new art genre.

Analysis of Z Generation's Collaborative Information Activities through Challenges: Focusing on Korean College Students (챌린지에 나타난 Z세대의 협업 정보 활동 - 국내 대학생을 중심으로 -)

  • Ji Hei Kang
    • Journal of Korean Library and Information Science Society
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    • v.55 no.1
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    • pp.173-192
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    • 2024
  • Through a survey of college students, this study explained the process and aspects of how Generation Z interacted with information while collaborating on a daily basis. Applying the Radical Change Theory, the study investigated the platforms through which university students engaged in challenges and their information behaviors. University students primarily participated in challenges using platforms such as Instagram and Naver Blog. In terms of changes in information seeking, which is the first type of information seeking in the theory, a wide and diverse range of information behaviors were observed, with the way of searching for information being quite different from when the digital age arrived 10 years ago. Information sources included not only digitalized ones but also traditional sources such as printed materials and personal contacts. The utilization of various media types was prominent, and collaborative efforts were voluntarily undertaken for challenges. In terms of changing perspectives, type 2 of information behavior, the main motivation for acquiring information and securing knowledge led to participation in the challenge. Participants exhibited a sense of community consciousness, including mutual influence awareness, social participation consciousness, and emotional connection.

A Collaborative Reputation System for e-Learning Content (협업적 이러닝 콘텐츠 평판시스템 연구)

  • Cho, Jinhyung;Kang, Hwan Soo
    • Journal of Digital Convergence
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    • v.11 no.2
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    • pp.235-242
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    • 2013
  • Reputation systems aggregate users' feedback after the completion of a transaction and compute the "reputation" of products, services, or providers, which can assist other users in decision-making in the future. With the rapid growth of online e-Learning content providing services, a suitable reputation system for more credible e-Learning content delivery has become important and is essential if educational content providers are to remain competitive. Most existing reputation systems focus on generating ratings only for user reputation; they fail to consider the reputations of products or services(item reputation). However, it is essential for B2C e-Learning services to have a reliable reputation rating mechanism for items since they offer guidance for decision-making by presenting the ranks or ratings of e-Learning content items. To overcome this problem, we propose a novel collaborative filtering based reputation rating method. Collaborative filtering, one of the most successful recommendation methods, can be used to improve a reputation system. In this method, dual information sources are formed with groups of co-oriented users and expert users and to adapt it to the reputation rating mechanism. We have evaluated its performance experimentally by comparing various reputation systems.

A Study on Forecasting Model of the Apartment Price Behavior in Seoul (서울시 아파트 가격 행태 예측 모델에 관한 연구)

  • Kwon, Hee-Chul;Yoo, Jung-Sang
    • Journal of Digital Convergence
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    • v.11 no.2
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    • pp.175-182
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    • 2013
  • In this paper, the simulation model of house price is presented on the basis of pricing mechanism between the demand and the supply of apartments in seoul. The algorithm of house price simulation model for calculating the rate of price over time includes feedback control theory. The feedback control theory consists of stock variable, flow variable, auxiliary variable and constant variable. We suggest that the future price of apartment is simulated using mutual interaction variables which are demand, supply, price and parameters among them. In this paper we considers three items which include the behavior of apartment price index, the size of demand and supply, and the forecasting of the apartment price in the future economic scenarios. The proposed price simulation model could be used in public needs for developing a house price regulation policy using financial and non-financial aids. And the quantitative simulation model is to be applied in practice with more specific real data and Powersim Software modeling tool.

Diagnosis by Rough Set and Information Theory in Reinforcing the Competencies of the Collegiate (러프집합과 정보이론을 이용한 대학생역량강화 진단)

  • Park, In-Kyoo
    • Journal of Digital Convergence
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    • v.12 no.8
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    • pp.257-264
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    • 2014
  • This paper presents the core competencies diagnosis system which targeted our collegiate students in an attempt to induce the core competencies for reinforcing the learning and employment capabilities. Because these days data give rise to a high level of redundancy and dimensionality with time complexity, they are more likely to have spurious relationships, and even the weakest relationships will be highly significant by any statistical test. So as to address the measurement of uncertainties from the classification of categorical data and the implementation of its analytic system, an uncertainty measure of rough entropy and information entropy is defined so that similar behaviors analysis is carried out and the clustering ability is demonstrated in the comparison with the statistical approach. Because the acquired and necessary competencies of the collegiate is deduced by way of the results of the diagnosis, i.e. common core competencies and major core competencies, they facilitate not only the collegiate life and the employment capability reinforcement but also the revitalization of employment and the adjustment to college life.

A Study on Zhung-zi's theory of self-cultivation (선진도가의 마음공부 - "장자(莊子)"에 나타나는 마음에 대한 이해와 공부를 중심으로 -)

  • Yun, Ji-Won
    • Journal of Digital Convergence
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    • v.11 no.8
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    • pp.349-358
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    • 2013
  • This thesis is a study on Zhuang-zi's theory of self-cultivation. "Mind" is an important concept in Zhuang-zi's philosophy. According to Zhuang-zi "mind" has dual character and its basic state includes the mind which is in keeping with Tao and the mind which is not. They separately refer to mind's natural state(靈府靈臺 之心) and unnatural state(成心). The former is compatible and harmonious while the latter is contradictory. The accomplishment of mind eventually means transcending unnatural mind and attaining mind's natural state. To realize natural mind, Zhuang-zi propose xinzhai(心齋)and zuowang(坐忘).

Dilemma of Data Driven Technology Regulation : Applying Principal-agent Model on Tracking and Profiling Cases in Korea (데이터 기반 기술규제의 딜레마 : 국내 트래킹·프로파일링 사례에 대한 주인-대리인 모델의 적용)

  • Lee, Youhyun;Jung, Ilyoung
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.17-32
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    • 2020
  • This study analyzes the regulatory issues of stakeholders, the firm, the government, and the individual, in the data industry using the principal-agent theory. While the importance of data driven economy is increasing rapidly, policy regulations and restrictions to use data impede the growth of data industry. We applied descriptive case analysis methodology using principal-agent theory. From our analysis, we found several meaningful results. First, key policy actors in data industry are data firms and the government among stakeholders. Second, two major concerns are that firms frequently invade personal privacy and the global companies obtain monopolistic power in data industry. This paper finally suggests policy and strategy in response to regulatory issues. The government should activate the domestic agent system for the supervision of global companies and increase data protection. Companies need to address discriminatory regulatory environments and expand legal data usage standards. Finally, individuals must embody an active behavior of consent.

Application of TRA in u-health system focusing on moderating effect of health privacy information (유헬스 시스템에 대한 TRA의 적용에 관한 연구: 건강개인정보의 조절 효과를 중심으로)

  • Kim, Mincheol;Yang, Young-Bae;Ha, Tai-Hyun
    • Journal of Digital Contents Society
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    • v.17 no.6
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    • pp.537-543
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    • 2016
  • The purpose of this study is to analyze the moderating effect of health privacy information on the relationship between the factors that affect the behavioral intention of the usage of u-health system have. Therefore, as a research hypothesis in TRA (Theory of Reasoned Action), self-efficacy and perceived usefulness will have a positive effect on the behavioral intention of the u-health system, and in the path, that personal information factors have an effect on each path. This study used the PLS-SEM methodology to verify the proposed research model. As a result of the analysis, this study showed that the moderating effect of health personal information in the presented model affects to some extent by the increase of R2 explanatory power. However, it was found that it was more consistent with the role of the independent variable rather than the moderating influence on the perceived usefulness.

Dysfunctional Communication between Parents and Child -Convergence Analysis with Transactional Analysis and Communication Theory (부모, 자녀 간의 역기능 의사소통 -교류분석과 의사소통이론을 활용한 융복합적 분석)

  • Yang, Eun-Mi;Lee, Hyun-Sim
    • Journal of Digital Convergence
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    • v.16 no.8
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    • pp.351-359
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    • 2018
  • This study tries to figure out the precarious communication types between parents and their children. For this, the linguistic behavioral characteristics of the main characters in the movie "Daughter" were extracted from their dialogues with the matrix analysis and were conceptualized. These conceptual features were analyzed in the convergence way combined with Transactional analysis and Satir's communication theory. The result shows that the dysfunctional communication between parents and children deteriorates their relation and even could collapse it. Thus. for their whole relation, it is important that they keep the functional communication between them. The study suggested the need for the parental education and youth personality education which let them know how to facilitate their communication.