• 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.48 no.3
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• pp.142-150
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• 2015

Objectives: The purpose of this study was to investigate the association between suicidal behavior and patterns of alcohol consumption in Korean adults. Methods: This study was based on data provided by the Korea National Health and Nutritional Examination Survey from 2007 to 2011. A total of 42 347 subjects were included in the study, of whom 19 292 were male and 23 055 were female. Logistic regression analysis was performed to assess the association between patterns of alcohol consumption and suicidal behavior. Results: Among the study subjects, 1426 males (11.3%) and 3599 females (21.2%) had experienced suicidal ideation, and 106 males (0.8%) and 190 females (1.1%) had attempted suicide during the previous 12 months. Alcohol Use Disorders Identification Test (AU-DIT) scores were found to be associated with suicidal ideation in males and associated with both suicidal ideation and suicide attempts in females. Alcoholic blackouts were associated with suicidal ideation and suicide attempts in males, and were also associated with suicidal ideation in females. Conclusions: In this study, we found that certain patterns of alcohol consumption were associated with suicidal behaviors. In particular, only alcoholic blackouts and categorized AUDIT scores were found to be associated with suicidal behavior in males. We therefore suggest that further research is needed to examine this relationship prospectively and in other settings.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.6-8
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• 2022

Web log analysis is one of the essential procedures for service improvement. ScienceON is a representative information service that provides various S&T literature and information, and we analyze its logs for continuous improvement. This study aims to analyze ScienceON web logs recorded in May 2020 and May 2021, dividing them into humans and web crawlers and performing an in-depth analysis. First, only web logs corresponding to S (search), V (detail view), and D (download) types are extracted and normalized to 658,407 and 8,727,042 records for each period. Second, using the Python 'user_agents' library, the logs are classified into humans and web crawlers, and third, the session size was set to 60 seconds, and each session is analyzed. We found that web crawlers, unlike humans, show relatively long for the average behavior pattern per session, and the behavior patterns are mainly for V patterns. As the future, the service will be improved to quickly detect and respond to web crawlers and respond to the behavioral patterns of human users.

• Journal of Korean Academy of Nursing
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• v.29 no.3
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• pp.625-638
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• 1999

The purpose of this study was to identify the relationships among health promoting behaviors, Health Locus of Control(HLOC), and response patterns to HLOC in Korean elderly. The sample was composed of 162 healthy elderly ranging in age from sixties to eighties. The instruments for this study were modified Health Promoting Lifestyle Profile (45 items, 4 scales), and Multidimensional Health Locus of Control (18 items). For the in data analysis, SPSS PC$^{＋}$ program was uilized for descriptive statistics, Pearson correlation, t-test, ANOVA and Stepwise multiple regression. The results of the study are as follows : 1. The total mean score for the HPLP was 2.411 (range 1-4), and the mean scores on the subscales were 3.324 for nutition, 2.709 for interpersonal support, 2.495 for exercise,2.225 for health responsibility, 2.205 for self actualization, 2.026 for stress management. 2. The mean scores for the HLOC in the elderly were HLOC-I : 23.531, HLOC-P : 21.914, HLOC-C : 18.667. 3. The response patterns of the HLOC identified eight types, pure internal, pure powerful others, pure chance, double external, believers in control, yea sayer, nay sayer and complex control. The “believers in control” was the largest group (22.8%), and “yea sayer” was the next largest group(17.9%). The “nay sayer”(5%) was the smallest group. 4. Demographic variables, such as education, economic status, religion and the perception of the health status showed strong connections to health promoting behaviors. 5. The HLOC-I and health promoting behavior were correlated positively(r＝.165, P＝.017), but the HLOC-P, the HLOC-C and the health promoting behavior were not correlated at the level of statistical significance. 6. There was not significant difference in health promoting behavior depending on the response patterns of the HLOC(F=1.171, P=.108). But, there were significant differences in two subscales of health promoting behavior exercise (F=3.279, P=.002), and stress management (F=3.165, P＝.003). 7. Education, the perception of the health and economic status explained 21.0% of the variance for health promoting behaviors. These results suggest that several demographic factors are important factors in predicting the level of health promoting behaviors in elderly. So to enhance the health promoting behavior, nurses should use the different nursing strategies depending on the demographic characters of the elderly.

• Journal of Information Processing Systems
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• v.6 no.4
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• pp.521-536
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• 2010

Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approaches transform trajectories into sequences of location symbols and derive frequent subsequences by applying conventional sequential pattern mining algorithms. However, spatio-temporal correlations may be lost due to the inappropriate approximations of spatial and temporal properties. In this paper, we address the problem of mining spatio-temporal patterns from trajectory data. The inefficient description of temporal information decreases the mining efficiency and the interpretability of the patterns. We provide a formal statement of efficient representation of spatio-temporal movements and propose a new approach to discover spatio-temporal patterns in trajectory data. The proposed method first finds meaningful spatio-temporal regions and extracts frequent spatio-temporal patterns based on a prefix-projection approach from the sequences of these regions. We experimentally analyze that the proposed method improves mining performance and derives more intuitive patterns.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4553-4562
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• 2010

With developing networks, information security is going to be important and therefore lots of intrusion detection system has been developed. Intrusion detection system has abilities to detect abnormal behavior and unknown intrusions also it can detect intrusions by using patterns studied from various penetration methods. Various algorithms are studying now such as the statistical method for detecting abnormal behavior, extracting abnormal behavior, and developing patterns that can be expected. Etc. This study using clustering of data mining and association rule analyzes detecting areas based on two models and helps design detection system which detecting abnormal behavior, unknown attack, misuse attack in a large network.

• Journal of Fisheries and Marine Sciences Education
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• v.4 no.1
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• pp.16-29
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• 1992

1. Purpose of the study: This study was to investigate and analyse the career decision making patterns of students, which would enhance vocational guidance activities for the students. The specific purposes of the study are as follows. 1) To find how much the fisheries high school students are satisfied with the school. 2) To find out the factors which would influence the fisheries high school students in their career decision making. 3) To find out the person who plays the most important role in the career decision making of the students 4) To find out the patterns of behavior taken by the fisheries high school students in their career decision making. 2. Hypotheses: The following hypotheses were tested for this study. 1) There would be significant differences in the extent of school-satisfaction, depending on the class level and major. 2) There would be significant differences in the value criterion with which the fisheries high school students make decisions on their careers, depending on the grades, majors, and the levels of school-satisfaction. 3) There would be significant differences in the human factors which affect their decision-making on their career, depending on the class levels, majors, and the levels of school satisfaction. 4) There would be significant differences in the patterns of behavior they take when they make decisions on their careers depending on the grades, majors and the levels of school satisfaction. 3. Methods of the study: For the verification of the above hypotheses, a questionaire was developed by the researcher, and the questionaire was answered by the total 440 students from three fisheries high schools, located in the rural and urban areas, out of 8 fisheries high schools in Korea. The questionaire was composed of two major parts: school-satisfaction (10 items) and career decision making patterns (39 items). The career decision-making patterns include 16 value criterion items, 10 human category items, and 13 behavior category items. 4. Results of the study: 1) School satisfaction; There was no significant difference in school satisfaction depending on the class level and major. 2) Value criteria; a) Almost of the fisheries high school students think that the potential for advancement, job security, and salary are important factors for their job. b) The seafarer-students rated the salary, prestige of the occupation and leadership to be important than the nonseafarer-students. The nonseafarer-students rated the stabilization of their livelihood and opportunity to use their creative ideas than the seafarer-students. c) The students unsatisfied with their school emphasize the working environment, variety of work duties and leisure more than the satisfied ones. 3) Human factors: a) The fisheries high school students are affected most by their homeroom teachers, major teachers and their parents, but they are less influenced by their counselor. b) The seniors are more affected by their friends or classmates than the freshmen, and especially seafarer-students are more affected by major teachers. c) The persons, who are working in the occupation they are interested in, exert more influence on unsatisfied students than class-teachers do. 4) Behavior patterns; a) Most of them want test their abilities. b) The nonseafarer-students and seniors tend to depend on their own intuitions. c) The seafarer-students, the freshmen, and the satisfied with their school tend to discuss with other persons, and the unsatisfied tend to be influenced by the information that they collect for themselves.

• Korean Management Science Review
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• v.21 no.3
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• pp.55-69
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• 2004

This study analyzes customer buying-behavior patterns in a department store as time goes on, and predicts moving patterns of its customers. Through them, it suggests in this paper short-term and long-term marketing promotion strategies. RFM techniques are utilized for customer segmentation. Customers are clustered by using the Kohonen's Self Organizing Map as a method of data mining techniques. Then C5.0, a decision tree analysis technique, is used to predict moving patterns of customers. Using real world data, this study evaluates the prediction accuracy of predictive models.

• Journal of Families and Better Life
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• v.22 no.4
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• pp.29-41
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• 2004

The patterns of mother-child personality match were investigated in the study. Further, the impact of goodness-of-fit between mother′s and child′s personality on maternal childrearing behaviors, child′s self-esteem, and child′s emotional intelligence was explored. The participants of this study were 1,060 fifth graders and their mothers from four different cities(Seoul. Suwon, Daejon, and Daegu). Six patterns of mother-child personality match were derived through cluster analysis and discriminant analysis. The most harmonious pattern in which maternal childrearing behavior was positive and child′s self-esteem and emotional intelligence were high appeared between mothers and children with high "stability" and "superiority" The least harmonious pattern was shown for the mothers with low "responsibility" and "reflectiveness" and high "dominance′and "sociability", and the children with low "stability" and "superiority".

• Journal of the Korean Home Economics Association
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• v.38 no.1
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• pp.9-23
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• 2000

This study was designed to test the differences in children's social information-processing patterns and bahavioral characteristics among four different groups of peer status, and to evaluate the predictability of peer status from social information-processing and social behavior. In addition, age and sex differences were assessed. The subjects were 80 boys and 80 girls identified as popular, average, neglected, and rejected by their peers in the first and the third grade. They responded to a sociometric test and three hypothetical social dilemmas, while behavioral characteristics were rated by their teachers. The data were analyzed by ANOVAs, and discriminant analyses. The results showed that children's social information-processing patterns were not significantly different by peer status except the number of interventions requested. Whereas children's behavioral characteristics were different by peer status in all of the four domains. Children's social information-processing patterns and behavioral characteristics were different in part by age and sex. The important predictors of peer status were hyperactive-distractive, anxious-withdrawn, sociable-prosocial behaviors, and the number of interventions requested.