• Information Systems Review
• /
• v.13 no.3
• /
• pp.141-163
• /
• 2011

The advancement of information technologies including the Internet has affected the way of social information processing as well as brought about the paradigm shift to the information society. Accordingly, it is very important to study the process of social information processing over the digital media through which social information is generated, distributed, and led to social consensus. In this study, we analyze the mechanism of social information processing, identify a process model of social consensus and institutionalization of the results, and finally propose a set of information processing characteristics on the internet media. We deploy the ethnographic approach to analyze the meaning of group behavior in the context of society to analyze two major events which happened in Korean society. The formation process of social consensus is found to consist of 5 steps: suggestion of social issues, selective reflection on public opinion, acceptance of the issues and diffusion, social consensus, and institutionalization and feedback. The key characteristics of information processing in the Internet is grouped into proactive response to an event, the changes in the role of opinion leader, the flexibility of proposal and analysis, greater scalability, relevance to consensus making, institutionalization and interaction. This study contributes to the literature by proposing a process model of social information processing which can be used as the basis for analyzing the social consensus making process from the social network perspective. In addition, this study suggests a new perspective where the utility of the Internet media can be understood from the social information processing so that other disciplines including politics, communications, and management can improve the decision making performance in utilizing the Internet media.

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

• Journal of the Korean Home Economics Association
• /
• v.47 no.1
• /
• pp.105-113
• /
• 2009

The purpose of this study was to explore differences in social information processing according to children's sex and types of aggression in response to instrumental and relational provocation factors. Two hundred and fifty-one 4, 5, and 6 graders were selected from an elementary school in Seoul. To evaluate their social information processing, the Intent Attributions and Feelings of Distress(Crick, 1995; Fitzgerald & Asher, 1987) and Response Decision Instrument(Crick & Werner, 1998) were revised and analyzed. A peer-nomination measure(Crick, 1995; Crick & Grotpeter, 1995) was used to select aggressive groups. Data were subjected to descriptive statistical analysis and multivariate [2(sex: M, F)${\times}$3(type of aggression: overt, relational, overt and relational aggression)] analysis of variance. Findings revealed that children's social information processing patterns were different according to sex and type of aggression. Also aggressive children responded differently in their social information processing according to instrumental and relational provocation factors. Implications of these findings for the role of gender, aggression type, and provocation type are discussed in order to better understanding of children's social information processing.

• Asia pacific journal of information systems
• /
• v.30 no.1
• /
• pp.167-187
• /
• 2020

College students experience more cyber bullying than youth and cyber bullying on college students may be more harmful than youth. But many studies of cyber bullying have been conducted in youth, but little has been studied for college students. Therefore, this study investigated the negative effects of college students' cyber bullying experience on cognitive processing ability and emotional states. The social support of friends has a buffering effect that prevents stress and reduces the influence on external damage in stressful situations. But the impact of parental social support is controversial. Traditionally, the social support of parents has been claimed to mitigate the negative effects of external damage. Recently, however, it has been argued that parental social support, without considering the independence and autonomy needs of college students, does not alleviate the negative effects. Therefore, this study examined how the social support of friends and parents moderate the negative impact of cyber bullying. The results show that the more college students experience cyber bullying, the lower their cognitive processing ability and emotional states. And, the higher the social support of friends, the lower the harmful impacts of cyber bullying on cognitive processing ability and emotional states. But, the higher the social support of parents, the higher the harmful impacts of cyber bullying on cognitive processing ability and emotional states.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.10 no.1
• /
• pp.61-71
• /
• 2014

Social networking services have changed the way people communicate. Rapid growth of information generated by social networking services requires effective search methods to give useful results. Over the last decade, social search methods have rapidly evolved. Traditional techniques become unqualified because they ignore social relation data. Existing social recommendation approaches consider social network structure, but social context has not been fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitous environment. We study previous researches about social search methods in ubiquitous environment. Our method is a new paradigm of levelelized data processing method which can utilize information in social networks, using location and friendship weight. Several experiments are performed and the results verify that the proposed method's performance is better than other existing method.

• Korean Journal of Child Studies
• /
• v.27 no.3
• /
• pp.149-168
• /
• 2006

This study examined the effects of maternal parenting behaviors, children's social information processing, daily hassles, and emotional regulation on school-age children's aggressive behaviors using Structural Equation Modeling(SEM) analysis. Subjects were 589 children in 4, 5, 6th grade and their mothers from three elementary schools in Seoul, Korea. Data were analyzed with descriptive statistics and SEM analysis by SPSS 12.0 and AMOS 4.0. The SEM shows differences between overtly aggressive and relationally aggressive children. Maternal parenting behaviors affected their children's overt aggression through children's emotional regulation. Additionally, maternal parenting behaviors affected children's overt aggression through children's daily hassles and social information processing. Maternal parenting behaviors influenced children's relational aggression through children's daily hassles and children's social information processing.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.3
• /
• pp.1168-1188
• /
• 2018

Social Network Aggregators are used to maintain and manage manifold accounts over multiple online social networks. Displaying the Activity feed for each social network on a common dashboard has been the status quo of social aggregators for long, however retrieving the desired data from various social networks is a major concern. A user inputs the query desiring the specific outcome from the social networks. Since the intention of the query is solely known by user, therefore the output of the query may not be as per user's expectation unless the system considers 'user-centric' factors. Moreover, the quality of solution depends on these user-centric factors, the user inclination and the nature of the network as well. Thus, there is a need for a system that understands the user's intent serving structured objects. Further, choosing the best execution and optimal ranking functions is also a high priority concern. The current work finds motivation from the above requirements and thus proposes the design of a query processing system to retrieve information from social network that extracts user's intent from various social networks. For further improvements in the research the machine learning techniques are incorporated such as Latent Dirichlet Algorithm (LDA) and Ranking Algorithm to improve the query results and fetch the information using data mining techniques.The proposed framework uniquely contributes a user-centric query retrieval model based on natural language and it is worth mentioning that the proposed framework is efficient when compared on temporal metrics. The proposed Query Processing System to Retrieve Information from Social Network (QPSSN) will increase the discoverability of the user, helps the businesses to collaboratively execute promotions, determine new networks and people. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a significant breakthrough scoring up to precision and recall respectively.

• Journal of Information Processing Systems
• /
• v.14 no.4
• /
• pp.904-915
• /
• 2018

We demonstrate how social media content can be used to predict the unemployment rate, a real-world indicator. We present a novel method for predicting the unemployment rate using social media analysis based on natural language processing and statistical modeling. The system collects social media contents including news articles, blogs, and tweets written in Korean, and then extracts data for modeling using part-of-speech tagging and sentiment analysis techniques. The autoregressive integrated moving average with exogenous variables (ARIMAX) and autoregressive with exogenous variables (ARX) models for unemployment rate prediction are fit using the analyzed data. The proposed method quantifies the social moods expressed in social media contents, whereas the existing methods simply present social tendencies. Our model derived a 27.9% improvement in error reduction compared to a Google Index-based model in the mean absolute percentage error metric.

• International Journal of Advanced Culture Technology
• /
• v.7 no.1
• /
• pp.96-102
• /
• 2019

The purpose of this study was to examine the effects of applying a program to enhance social information processing ability in schizophrenic patients. We confirmed the positive effects of the program on the theories of mind and attribution style, which are the social information elements of patients, and confirmed the effect of decreasing paranoid ideation. We used the theory of mind(hinting task, the false belief task), the attributional style questionnaire(external bias, personal bias), and the paranoia scale to test the effectiveness of the program. Specifically, in theory of mind, hinting task performance was improved(t=4.14, p=.000),. The scores of personal bias(t=-7.9, p=.000) and paranoid ideation(t=-2.98, p=.004) decreased. Further research is needed to verify the effectiveness of meta - cognitive training to enhance social information processing.

• Journal of Information Technology Services
• /
• v.11 no.2
• /
• pp.319-337
• /
• 2012

To stress the importance of privacy in social networking, I presented an analysis on how information control and information management vulnerability influence trust and privacy concerns in social networking, and how trust and privacy concerns influence the sustainable usage intention of social network services. I also analyzed the factors affecting privacy concerns to present the method to alleviate social network users' concerns about privacy. Information collection control, information processing control and information management vulnerability were chosen and analyzed as the factors affecting privacy concerns. The results showed that information collection control and information management vulnerability significantly affected trust and privacy concerns; and information processing control did not significantly affect privacy concerns. The relationship between trust and privacy concerns, and sustainable usage intention was statistically significant; and the relationship between trust and expansion of communication channels was also statistically significant.