• Journal of the Korea Convergence Society
• /
• v.10 no.5
• /
• pp.229-238
• /
• 2019

The purpose of this study is to understand in depth the gambling experiences of delinquent juveniles who have dropped out of school and analyze the content and meaning of gambling experiences. Thus, utilized a Giorgi's phenomenological research method. Data was gathered through in-depth interviews, and the gambling experiences of six youths who are under juvenile law protective disposition were examined through a four-step analytic process. From the results, 6 parent components and 18 sub-components were derived. That is, "the temptation of close gambling", "trapped in the bridle of gambling", "deterioration of life", "damaged of non-official networks relationship", "corruption of existence" and "attempts to escape gambling" were appeared. These results are meaningful because they have allowed researchers to identify the essential meaning and experiential structure of delinquents juvenile' gambling experiences outside of school, which has not been studied thus far. Further, this study has empirical value as its framework includes a joint analysis in terms of welfare and gambling addiction and focuses on a precarious population-delinquent juveniles who have dropped out of school. The results provide a foundation from which practical implications and policy alternatives for the prevention and treatment of gambling problems in delinquent juveniles dropped out of school.

• Journal of Internet Computing and Services
• /
• v.21 no.6
• /
• pp.57-69
• /
• 2020

As more people share their opinions in online communities, such as Internet portals and social networking services, more opinions are manipulated for the benefit of particular individuals and groups. In particular, when manipulations occur for political purposes, they influence election results as well as government policies and the quality of life. This type of manipulation has targeted the general public, and their analysis and detection has also focused on such manipulation. However, to more efficiently spread propaganda, recent manipulations have targeted common interest groups(e.g., a group of those interested in real estate) and propagated information whose content and style are customized to those groups. This work characterizes such manipulations on common interest groups and proposes method to detect manipulations. To this end, we collected and analyzed opinions posted on 10 common interest groups before and after an election. As a result, we found that manipulations on common interest groups indeed occurred and were gradually increasing toward the election date. We also proposed a detection system that examines individual opinions, their authors, and their collaborators. Using the collected opinions, we demonstrated that the proposed system can accurately classify more than 90% of manipulated opinions and that many of these opinions were posted by multiple collaborators. We believe that regular audits of opinions using the proposed system can quickly isolate manipulations and decrease their impact. Moreover, the proposed features can be used to identify manipulations in domains other than politics.

• Journal of agricultural medicine and community health
• /
• v.47 no.4
• /
• pp.242-254
• /
• 2022

Purpose: This study was designed to test structural equation modeling of the quality of life of elderly diagnosed dementia living in the community in order to provide guidelines for development of intervention and strategies to improve their quality of life. Methods: The participants in the study were elderly who visited the public health center in C rural between May 30 and september 15, 2017. Data collection was carried out through one-on-one interviews. Demographic factors, knowledge, Attitude, Self-Efficacy, social support, accessibility, request for Information, health practice, depression, subjective memory complaints, dependence scale and quality of life were investigated. Results: The final analysis included 192 elderly. Fitness of the hypothesis model was appropriate(χ²=192.89, p=.000, GFI=0.90, SRMR=0.08, NNFI=0.94, CFI=0.95, PNFI=0.72, RMSEA=0.07). Depression, subjective memory complaints and dependence were found to be significant explaining varience in quality of life. Social support, dementia preventive behavior and health practice had an indirect effect on the quality of life. Conclusions: To improve the quality of life of elderly diagnosed dementia living in the community, comprehensive interventions are necessary to manage knowledge, attitude, self-efficacy, social support, health practice, depression, subjective memory complaints and dependence that can contribute to enchance the quality of life of elderly diagnosed dementia living in the community.

• Informatization Policy
• /
• v.31 no.2
• /
• pp.3-38
• /
• 2024

Hallucination is a significant barrier to the utilization of large-scale language models or multimodal models. In this study, we collected 654 computer science papers with "hallucination" in the abstract from arXiv from December 2022 to January 2024 following the advent of Chat GPT and conducted frequency analysis, knowledge network analysis, and literature review to explore the latest trends in hallucination research. The results showed that research in the fields of "Computation and Language," "Artificial Intelligence," "Computer Vision and Pattern Recognition," and "Machine Learning" were active. We then analyzed the research trends in the four major fields by focusing on the main authors and dividing them into data, hallucination detection, and hallucination mitigation. The main research trends included hallucination mitigation through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), inference enhancement via "chain of thought" (CoT), and growing interest in hallucination mitigation within the domain of multimodal AI. This study provides insights into the latest developments in hallucination research through a technology-oriented literature review. This study is expected to help subsequent research in both engineering and humanities and social sciences fields by understanding the latest trends in hallucination research.

• Journal of Internet Computing and Services
• /
• v.21 no.3
• /
• pp.29-39
• /
• 2020

Online communities, such as Internet portal sites and social media, have become popular since they allow users to share opinions and to obtain information anytime, anywhere. Accordingly, an increasing number of opinions are manipulated to the advantage of particular groups or individuals, and these opinions include falsified product reviews and political propaganda. Existing detection systems are built upon the characteristics of manipulated opinions for one particular time period. However, manipulation tactics change over time to evade detection systems and to more efficiently spread information, so detection systems should also evolve according to the changes. We therefore propose a system that helps observe and trace changes in manipulation tactics. This system classifies opinions into clusters that represent different tactics, and changes in these clusters reveal evolving tactics. We evaluated the system with over a million opinions collected during three election campaigns and found various changes in (i) the times when manipulations frequently occur, (ii) the methods to manipulate recommendation counts, and (iii) the use of multiple user IDs. We suggest that the operators of online communities perform regular audits with the proposed system to identify evolutions and to adjust detection systems.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.7
• /
• pp.423-442
• /
• 2018

This study observes the psychological changes of unemployed people according to their unemployment period. With this what psychological changes they face according to their unemployment period and what psychological characteristics they show, whether if psychological changes and job hunting activities are in relation, and whether if psychological changes affect job hunting activities. The study subjects received unemployment wage and were divided according to before employment, 1~3 months unemployed, and 4 months or more unemployed. An in-depth research of 8 people was conducted within the period of 2017.05~08. The psychological characteristics of people, in the period from when they first sense unemployment possibilities until three months of unemployment, are anger, anxiety, fear, which is a mixed characteristic that does not disappear but continues deepening. In study there was no significant difference in depression, anxiety, anger, social phobia, alcohol, religion factors, low self-esteem, and low self-efficacy in before employment, 1~3 months unemployed, and 4 months or more unemployed. However, the average levels of anger anxiety, depression, and social phobia were higher when the unemployment period was longer and the results of low self-esteem and low self-efficacy support further research.

• Korean journal of communication and information
• /
• v.58
• /
• pp.55-73
• /
• 2012

This study is critical research on the forming public opinion of SNS and participation behavior. Twitter is a typical SNS service, free school food and 10.26 re-and by-elections during the formation of public opinion on the impact have been investigated. Formation of public opinion about Twitter's analysis of the first research question, The case of free meals to support the Mayor Oh, rather than against Twitter were influential. 10.26 re-and by-elections Twitter in space, the Park' candidate than Na' candidate has formed a favorable opinion. Power twitterian and twitterian on the behavior of the second study involved analysis of the problem, For free meals, power twitterian were responsible for leading the public opinion. For 10.26 re-and by-elections, Power twitterian were more Park' candidates than Na' candidates. In addition, Park' candidates of twitterians were communicating more. Through traditional media in the process of forming public opinion was swayed by public opinion to the target people simply but SNS age people involved in the production and distribution of the issue and the issue has a leading role.

• The Journal of the Korea Contents Association
• /
• v.13 no.11
• /
• pp.198-212
• /
• 2013

The objectives of the study are: 1) to explore the affecting factors on job search intention among expectant graduates from university and 2) to analyze their causal relationships. For the objectives, the Structural Equation Modeling was run using: AMOS 18.0 program. The analysis included total of 231 senior students from three national universities located in non-central regions. The main results are follows as: first, job search network showed a significant and positive indirect effect on job search intention implying the mediating roles of job search attitudes and job search efficacy. Second, job search attitudes and job search efficacy had positive and significant effects on job search intention. Third, job search constraints had a negative effect on job search attitudes, and job search network and job search constraints were positively associated with job search efficacy. Fourth, higher job search network and higher job search efficacy increased the levels of job search clarity, respectively. These results implied that the improvement of job search efficacy, positive attitudes toward job search and the security of social network for job are meed for expectant graduates from university.

• Journal of The Korean Association of Information Education
• /
• v.17 no.1
• /
• pp.1-8
• /
• 2013

SNS is a social networking service that removes the barrier between cyber spaces and the real world and helps people who have common interests to have a two-way communication, manage their interpersonal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated in recent days. However, studies on SNS have just examined adults, and it's required to research the use of SNS and cyber behaviors via SNS among elementary and middle school students. This study attempted to analyze the relationship of the use of SNS, motivation of using SNS, the use of active SNS functions, SNS-dependent tendency and SNS awareness to cyber behaviors via SNS among elementary and middle school students. As a result, regardless of gender and grade, stealing private information was the most frequent activity and the frequency of 'contacting strangers' activity increased most rapidly with the usage time and grade. SNS dependency turned out to be the most highly correlated with the negative cyber behavior. Moreover, the difference of gender was not significant to the overall negative cyber behavior, whereas that of grade was.

• The KIPS Transactions:PartD
• /
• v.16D no.6
• /
• pp.851-858
• /
• 2009

Mobbing is not restricted to problem of young people but the bigger recent problem occurs in workspaces. According to reports of ILO and domestic case mobbing in the workplace is increasing more and more numerically from 9.1%('03) to 30.7%('08). These mobbing brings personal and social losses. The proposed algorithm makes it possible to grasp not only current mobbing victims but also potential mobbing victims through user profile and contribute to efficient personnel management. This paper extracts user profile related to mobbing, in a way of selecting seven factors and fifty attributes that are related to this matter. Next, expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and through this summation Mobbing-Value(MV) can be calculated . Finally by mapping MV of online social network users to G2 mobbing propensity classification model(4 Groups; Ideal Group of the online social network, Bullies, Aggressive victims, Victims) which is designed in this paper, can grasp mobbing propensity of users, which will contribute to efficient personnel management.