• Journal of Digital Convergence
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• v.16 no.12
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• pp.407-415
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• 2018

The purpose of this study is to investigate the effect of SNS addiction tendency and social support on cyber violence among college students. Data collection was conducted through a structured questionnaire for 330 college students and analyzed through SPSS 18.0 program. As a result of the analysis, SNS addiction tendency was low as $1.81{\pm}0.55$, social support was $4.00{\pm}0.78$ and cyber violence was $1.38{\pm}0.59$. There was a significant positive correlation between SNS addiction tendency and SNS posting frequency, and there was a significant negative correlation between social support and grade. Cyber violence increased as the tendency of SNS addiction increased, as social support decreased, and cyber violence decreased in the second and third graders compared to the first grade. For this purpose, it is necessary to strengthen cyber education and group counseling program suitable for college students and it will be necessary to make effort to raise self - control.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.189-190
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• 2017

This study analysis that how related to media use time before shuteye time. Excessive SNS and smatphone use were related to sleepquality and pattern. A positive correlation has been found between the time spent using smartphone before bedtime and sleep deprivation and disability phenomenon. The time spent is found to also affect the language of youths and behavioral violence.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.175-194
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• 2015

As the explosive growth of SNS users, SNS affects every aspect of our lives. Beyond the individual's scope there is a powerful influence in society. Now cyber bullying is a big problem of this society. To analyze the relationship between the SNS user features and cyber bullying phenomenon, various SNS user's personal and social characteristics were set to variables affecting the cyber bullying phenomenon on the SNS. For the research, questionnaire survey was conducted for total 200 subjects among 10~60 age band in each region across the country. We set a research model including the items that are found to be affected in cyber bullying through the prior researches. To analyze interrelation of cyber bullying phenomenon and the general characteristics of SNS users, multiple regression analysis and other analyses were conducted. As a statistical result, we found the correlation among variables and the suggestion points for a SNS platform development direction.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.181-185
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• 2021

As part of an effort to derive measures to prevent school violence, which is continuously emphasized in the school field, this study tried to examine the topic that has recently become an issue related to school violence from the perspective of data science. In particular, it was attempted to crawl posts related to school violence using online SNS data and examine the characteristics of each type by using the topic modeling method. As a result of arranging the keywords for each topic derived from the topic modeling analysis by type, it was possible to divide the contents into three main categories: prevention of school violence, punishment of perpetrators, and measures to be taken. First, as the contents of school violence prevention activities, it is the contents of the role of specialized organizations for the prevention of school violence. Second, it was derived from the contents of measures and procedures for school violence. Third, it was possible to examine the contents of recent issues of school violence. In future research, it is necessary to conduct research that is used to solve the social problems facing based on data-based prediction.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.67-68
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• 2014

스마트기기의 대중화와 SNS의 활용은 우리 사회생활에 많은 변화를 가져왔다. 하지만 이를 활용함으로써 나타는 폐해는 개인의 프라이버시 침해, 사이버폭력, 허위정보의 양산, 각종 범죄 등에 노출되는 부작용을 보이고 있다. 이 연구에서는 국내의 SNS 활용실태와 현재 경찰의 4대악 척결의 하나인 학교폭력을 중심으로 고찰을 시도하고자 한다. 특히 SNS의 급격한 확산으로 인해 발생되는 사이버불링(따돌림)의 실태에 대해 파악하고 그에 대한 제언을 하고자 한다.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.1-8
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• 2013

Rapidly increasing internet use has brought beneficial development in many aspect and provide us with abundance and comfort as well as enhancement of quality of life. But Cyber space is giving rise to some negative result such as violence and delinquent conduct. It bring about more serious social problems than real life. We try to provide the desirable direction for Internet ethics by mobile SNS. SNS has not only economical values but also social communication toll to exchange and share views of specific issues with other users. Social influential and personal emotion factor is a factor of community relation. Thus SNS contribute to self-construction, interpersonal relations and public sphere. This internet ethics of mobile Era will makes people recognize the correct internet ethics information and do it, suggest the solution for interpersonal internet environment.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.188-198
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• 2020

In the cyber space represented by Sns, the problem of cyber verbal violence, which sends slander messages such as abusive messages through chats, bulletin boards, malicious comments, and messages, is getting worse. Leveraging the power of cyberspace's anonymity, people can't hesitate to say what they can't say in the real world. In extreme cases, cyber verbal violence can lead to the death of a person. This paper focuses on the creation of media content that helps to inform and prevent the seriousness of cyber verbal violence prevalent on the Internet through interactive art. The nature of Interact art goes beyond the work and the audience to the people in the relationship between the work and the participants, allowing participants to directly and indirectly feel the seriousness of cyber verbal viol.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2370-2378
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• 2016

Social Network Service(SNS) users are increasing globally. Within that trend, 'SNS attacking' victims are increasing in social network service space like KakaoStory, facebook, or Instargram as people damage others' personality or reputation. In this paper is to investigate and analyze awareness of negative behavior attributed to disinhibition effect with undergraduates who are the group of people using social network service the most diversely in smart environment and devise preventive measures to reduce social network service attacking victims and attackers. In social network service space, undergraduates are hardly aware of other people's personality, defamation, or invasion of privacy, and the level of guilt they feel towards social network service attacking is seriously low. To solve this problem, this study suggests preventive measures so that they can be equipped with awareness and regulations right for this social network service age and can prevent negative behavior resulted from disinhibition effect.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.442-445
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• 2020

인터넷 및 IT 기술의 발전과 더불어 미디어산업에도 큰 변화가 일어나고 있다. TV 를 대신하여 스트리밍 서비스를 이용하는 사람들이 늘고 있으며 SNS 를 활용하여 서로의 경험을 간접적으로 공유하는 형태의 새로운 문화 컨텐츠가 자리잡아가고 있다. 하지만 이러한 컨텐츠를 소비하는 주요 계층 중에는 초중고 학생들도 포함되어 있다. 인터넷 혹은 SNS 에서 소비되는 컨텐츠들을 관리 감독하는 컨트롤 타워가 부족하거나 전무하기 때문에 폭력, 음주, 흡연 등 사회적으로 악영향을 줄 수 있는 영상 또는 사진이 무분별하게 생산되어 청소년들에 의해 소비되고 있으며 더 나아가 이것이 사회적 문제로까지 대두되고 있다. 이러한 문제를 해결하기 위해 인공지능 기술을 활용한 여러 다양한 감시 시스템 개발을 위한 연구가 한창이다. 본 연구에서는 SNS 및 스트리밍 서비스에서 제공되는 영상 및 사진을 Pose Estimation 및 표정 인식 기술을 활용하여 폭력을 자동적으로 감지할 수 있는 폭력 감지 시스템을 개발하는데 그 목적이 있다.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.115-122
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• 2014

One of the problems with current youth generations is increasing rate of violence and suicide in their school lives, and this study aims at the design of a sentiment analysis system to prevent suicide by uising big data process. The main issues of the design are economical implementation, easy and fast processing for the users, so, the open source Hadoop system with MapReduce algorithm is used on the HDFS(Hadoop Distributed File System) for the experimentation. This study uses word count method to do the sentiment analysis with informal data on some sns communications concerning a kinds of violent words, in terms of text mining to avoid some expensive and complex statistical analysis methods.