• Child Studies in Asia-Pacific Contexts
• /
• 제6권2호
• /
• pp.59-72
• /
• 2016

We examined the relationship between the extent of Facebook usage and social well-being with consideration of cyberbullying involvement using a person-oriented approach. Survey data were collected from a sample of 312 secondary students from Grades 7 and 8 in Hong Kong. Levels of cyberbullying involvement, Facebook usage and perceived social support were investigated. Participants were classified into three clusters based on the different levels of Facebook usage and cyberbullying victimization through cluster analyses (i.e., frequent Facebook user/noncyberbullied victim, frequent Facebook user/cyberbullied victim, and uninvolved). Our results showed that frequent Facebook users who are cyberbullied tend to engage in cyberbullying perpetration significantly more than the frequent Facebook users who are not cyberbullied, even when the latter reported higher Facebook usage. This result provides some support for the idea that cyberbullying victimization has additional value on top of the level of usage in explaining one's participation in cyberbullying perpetration. As expected, frequent Facebook users who were not cyberbullied reported the highest perceived social support among the three groups. What is even more interesting is the equal level of perceived social support found between the cyberbullied victims and the uninvolved. Our results suggest that, although limiting adolescents' Internet use might reduce their risks of being involved in cyberbullying, it might also take away the potential benefits they could get from interacting with the online community. Benefits of using the person-oriented approach in the study of cyberbullying are discussed.

• Child Health Nursing Research
• /
• 제27권1호
• /
• pp.65-74
• /
• 2021

Purpose: The purpose of this study was to gain insights into empathy, cyberbullying, and cybervictimization among Filipino adolescents. Methods: The participants were 168 junior high school students in the 7th to 10th grades at a public high school in Cavite Province, Philippines. Data were collected on demographic characteristics, the Basic Empathy Scale, and Revised Cyber Bullying Inventory-II scores. The data were analyzed in SPSS using descriptive statistics (frequency and mean), the independent t-test, bivariate correlation, and one-way analysis of variance. Results: The degree of empathy did not show a statistically significant relationship with cyberbullying (r=-.07, p=.359) but did show a significant relationship with cybervictimization (r=.18, p=.025). Furthermore, cyberbullying had a statistically significant association with cybervictimization (r=.60, p<.001). Conclusion: Although empathy does not necessarily affect cyberbullying, higher levels of empathy were found among cyberbullying victims. However, an alarming result of this study is the possibility that victims may become cyberbullies. Therefore, we should highlight empathy as part of efforts to prevent cyberbullying and to solve various cyber-related problems. Since cyberbullying and cybervictimization are closely related, it is important to focus on this relationship and to make multilateral efforts to ensure that cyberbullying does not lead to other negative issues.

• 아동학회지
• /
• 제37권3호
• /
• pp.39-51
• /
• 2016

Objective: The present study examined the effects of school violence victimization and self-control on cyberbullying perpetration in middle school students and investigated whether self-control moderated the relationship between school violence victimization and cyberbullying perpetration. Methods: The participants of this study were 315 middle school students (172 boys; 143 girls) from three middle schools in Seoul and Incheon. To measure the level of cyberbullying perpetration, the Bullying/Victimization Questionnaire was used. School violence victimization and self-control were measured via the School Violence Victimization Scale and the Self-Control Scale, respectively. The data were analyzed by means of descriptive statistics and hierarchical regressions. Results and Conclusion: The results indicated that school bullying victimization level increased cyberbullying perpetration level whereas self-control level decreased cyberbullying perpetration. In addition, self-control moderated the effect of school violence victimization on cyberbullying perpetration. That is, the influence of school bullying victimization on cyberbullying perpetration was greater when self-control was low, compared to when it was high.

• Human Ecology Research
• /
• 제58권1호
• /
• pp.61-74
• /
• 2020

This study examined the effects of moral disengagement (cognitive restructuring and blaming the victim) and self-control on cyberbullying perpetration and investigated if self-control moderated the relationship between moral disengagement (cognitive restructuring and blaming the victim) and cyberbullying perpetration. Participants in the study consisted of 551 middle school students (273 boys and 278 girls) from five middle schools in Seoul and Gyeonggi-do. Cyberbullying perpetration, moral disengagement and self-control were measured using the Bullying/Victimization Questionnaire, the Mechanisms of Moral Disengagement Scale, and the Self-Control Scale for children and adolescents. Data were analyzed by means of descriptive statistics and a hierarchical regression analysis. The moderating effect of self-control was analyzed using procedures proposed by Baron and Kenny (1986). The results indicated that both levels of cognitive restructuring and blaming the victim increased cyberbullying perpetration whereas the level of self-control decreased cyberbullying perpetration. In addition, self-control moderated the effect of cognitive restructuring on cyberbullying perpetration. The influence of cognitive restructuring on cyberbullying perpetration was greater when the level of self-control was low, compared to when it was high.

• 한국재난정보학회 논문집
• /
• 제6권1호
• /
• pp.122-137
• /
• 2010

The purpose of this study is to find the exact state of cyberbullying and the countermeasure for it. cyberbullying is characterized by having the wideness, the anonymity and the intellectualization unlike the harassment of off-line. The result of this study, the cyberbullying is increased through the e-mail, cellular phone, and website around the teenagers. In particular, the cyberbullying has appeared mainly among the same age friends, it is proved that injurers inflict the harassment mainly at their own place and the ratio of the harassment by one self is higher than many. In addition, it is quite probable that the injurer-student who inflicts the harassment in off-line also can do it in on-line and to attack the cyberbullying is easy to find by the student who is indulged himself in internet use. Therefore, it is presented that the countermeasure in educational side and systematic side on this study. First on the educational side, there are presented the practice of the preventive education against the cyberbullying, expansion of the preventive schools for the cyber ethics and cyber crime and strengthening of the guideline for students in cyberspace. Second on the systematic side, there are presented the appointment of various committee, to strengthen the protection of damaged students, preparation of laws for cyberbullying, expansion of information office for internet addiction, improvement of the system for the school custodian and to extend the operating for cyber clearness school.

• International Journal of Computer Science & Network Security
• /
• 제23권9호
• /
• pp.192-198
• /
• 2023

Cyberbullying is a growing problem among adolescents and can have serious psychological and emotional consequences for the victims. In recent years, machine learning techniques have emerged as promising approach for detecting instances of cyberbullying in online communication. This research paper focuses on developing a machine learning models that are able to detect cyberbullying including support vector machines, naïve bayes, and random forests. The study uses a dataset of real-world examples of cyberbullying collected from Twitter and extracts features that represents the ideational metafunction, then evaluates the performance of each algorithm before and after considering the theory of systemic functional linguistics in terms of precision, recall, and F1-score. The result indicates that all three algorithms are effective at detecting cyberbullying with 92% for naïve bayes and an accuracy of 93% for both SVM and random forests. However, the study also highlights the challenges of accurately detecting cyberbullying, particularly given the nuanced and context-dependent nature of online communication. This paper concludes by discussing the implications of these findings for future research and the development of practical tool for cyberbullying prevention and intervention.

• 한국융합학회논문지
• /
• 제10권2호
• /
• pp.149-158
• /
• 2019

디지털 기기가 보편화됨에 사이버 폭력 행위 중 하나인 사이버불링이 문제로 대두되고 있다. 이에 본 연구는 사이버불링 예방 의식 함양을 위하여 시각적으로 소통이 가능한 픽토그램을 수업을 진행하고자 한다. 이에 총 5명의 중고등학교 남학생을 대상으로 총 6차시의 '사이버불링 예방 픽토그램' 제작 수업을 진행한 후 작품 분석과 사전 사후 인터뷰를 통해 미술 흥미도, 사이버불링 인지도, 공감 감수성, 메시지 시각화, 사회참여의 변화를 탐색하는 질적 연구를 진행했으며 연구결과는 다음과 같다. 첫째, 앱 활용을 통해 학습자가 미술표현의 부담감을 완화시켜 미술시간의 흥미도가 향상되었다. 둘째, 사이버불링의 문제 탐색 과정을 통해 사이버불링의 폭력성의 심각성과 사이버불링 예방의 중요성을 인식하였다. 셋째, 학습자는 사이버불링 피해자의 고통을 공감하는 공감 감수성이 향상되었다. 넷째, 사이버불링 예방 픽토그램 제작으로 작품을 구체화하여 공유함으로 시각 이미지를 활용하고 읽고 해석하는 능력이 향상되었다. 다섯째, 작품을 인스타그램에 게시하여 사회 문제에 대한 구체적인 실행을 행했다. 결론적으로 픽토그램을 활용한 사이버불링 예방 미술 수업의 효과성을 증명하였다.

• 정보화정책
• /
• 제28권2호
• /
• pp.57-80
• /
• 2021

본 연구에서는 사안의 심각성과 폐해의 막중함에도 불구하고 학문적 관심이 적었던 성인 대상의 사이버폭력 가해원인을 규명하고자 했다. 성인들의 사이버폭력 가해 행위를 예방하고 줄일 수 있는 합리적인 방안 마련을 위한 기초자료를 제공하기 위해서이다. 이를 위해, 매년 정부가 주관하는 <사이버폭력 실태조사>의 2019년도 결과 자료를 활용하여 2차 분석을 진행했다. 먼저, 조사 회사가 보유한 온라인 조사 패널에서 전국 17개 시·도를 대상으로 지역별 인구비례로 할당하여 20~50대 이하의 성인 남녀 1,500명을 추출했다. 이들을 대상으로 온라인으로 조사를 진행했으며 응답자의 51.5%가 남성, 48.7%가 여성이었다. 분석 결과, 사이버폭력에 대한 태도는 사이버폭력 가해 경험과 관련해서 성별, 연령, 가족 관계, 동료 관계, 인터넷 이용시간, 불법 콘텐츠 접촉 경험 요인 등과의 관계에서 완전한 매개 역할을 하는 것으로 나타났다. 또한, 온라인 비행 동료 수와 사이버폭력 피해 경험에 대해서는 부분 매개 역할을 하는 것을 확인했다. 결과적으로 사이버폭력에 대한 태도가 성인들의 사이버폭력 가해 경험에 영향을 미치는 가장 중요한 요인임이 밝혀졌다. 이러한 결과를 바탕으로 성인들의 사이버폭력 예방 프로그램 마련을 위해서는 사이버폭력에 대한 무관용적인 태도 형성을 무엇보다 중요하게 고려해야 함을 제안했다.

• 컴퓨터교육학회논문지
• /
• 제17권6호
• /
• pp.35-48
• /
• 2014

최근의 스마트폰의 보급과 인터넷 사용이 일상화되면서 청소년들 간에 사이버상에서의 왕따와 괴롭힘의 현상과 같은 사이버불링이 국내외적으로 증가되고 있는 추세이다. 외국의 경우 10여 년 전부터 사이버불링에 대한 다양한 연구들이 수행된 것과는 달리 국내의 경우에는 이에 대한 연구들이 잘 이루어지지 않았다. 사이버불링을 효과적으로 대응하기 위해서는 이에 대한 심도있는 분석을 기반으로 한 다양한 연구들이 수행되어야 할 것이다. 본 연구에서는 사이버불링에 대한 개념 및 유형, 전통적인 불링과 사이버불링과의 차이점, 사이버불링의 원인과 그에 따른 영향 등을 살펴보고자 한다. 또한 국내외적으로 이루어진 사이버불링 대응에 관한 연구들을 살펴하고 이를 바탕으로 사이버불링에 대한 대응 방안을 제안하고자 한다.

• International Journal of Computer Science & Network Security
• /
• 제21권1호
• /
• pp.1-5
• /
• 2021

Cyberbullying is a problem that is faced in many cultures. Due to their popularity and interactive nature, social media platforms have also been affected by cyberbullying. Social media users from Arab countries have also reported being a target of cyberbullying. Machine learning techniques have been a prominent approach used by scientists to detect and battle this phenomenon. In this paper, we compare different machine learning algorithms for their performance in cyberbullying detection based on a labeled dataset of Arabic YouTube comments. Three machine learning models are considered, namely: Multinomial Naïve Bayes (MNB), Complement Naïve Bayes (CNB), and Linear Regression (LR). In addition, we experiment with two feature extraction methods, namely: Count Vectorizer and Tfidf Vectorizer. Our results show that, using count vectroizer feature extraction, the Logistic Regression model can outperform both Multinomial and Complement Naïve Bayes models. However, when using Tfidf vectorizer feature extraction, Complement Naive Bayes model can outperform the other two models.