• Title/Summary/Keyword: Media violence

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A Convergence Study on the Influence of Media Violence Acceptance and Violence Perception on Dating Violence in University Students (미디어 폭력성 수용 정도와 폭력 인식이 대학생의 데이트 폭력 행동에 미치는 영향에 대한 융합적 연구)

  • Park, Jummi;Shin, Nayeon;Park, Hyosun
    • Journal of the Korea Convergence Society
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    • v.10 no.4
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    • pp.237-246
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    • 2019
  • Purpose: The purpose of this study is to examine the factors influencing dating violence in University students. Methods: A descriptive regression design was used and the participants were 211 university students. Data analysis included t-test, ANOVA, pearson's correlations, multiple regression. Results: The significant factors affecting dating violence were justification of violence and irrational belief of date violence. The regression model explained approximately 24.7~33.0 % of dating violence. Conclusion: The findings recommend that nurses have to improve preventing dating violence of university students by considering violence perception.

The role of the pediatrician in youth violence prevention

  • Kim, Soon Ki;Kim, Nam Su
    • Clinical and Experimental Pediatrics
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    • v.56 no.1
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    • pp.1-7
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    • 2013
  • School bullying has become a major social problem in Korea after the emergence of media reports on children who committed suicide after being victimized by bullies. In this article, we review the characteristics of bullying, and investigate the role of the pediatrician in the prevention of and intervention against bullying and school violence. Bullying can take on many forms such as physical threat, verbal humiliation, malicious rumors, and social ostracism. The prevalence of bullying in various countries is approximately 10% to 20%. In Korea, the prevalence of school violence is similar but seems to be more intense because of the highly competitive environment. From our review of literature, we found that children who were bullied had a significantly higher risk of developing psychosomatic and psychosocial problems such as headache, abdominal pain, anxiety, and depression than those who were not bullied. Hence, it is important for health practitioners to detect these signs in a child who was bullied by questioning and examining the child, and to determine whether bullying plays a contributing role when a child exhibits such signs. Pediatricians can play an important role in the prevention of or intervention against school violence along with school authorities, parents, and community leaders. Moreover, guidelines to prevent school violence, such as the Olweus Bullying Prevention Program, KiVa of the Finish Ministry of Education, and Connected Kids: Safe, Strong, Secure of the American Academy Pediatrics, should be implemented.

Domestic Violence in the Canadian Workplace: Are Coworkers Aware?

  • MacGregor, Jennifer C.D.;Wathen, C. Nadine;MacQuarrie, Barbara J.
    • Safety and Health at Work
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    • v.7 no.3
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    • pp.244-250
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    • 2016
  • Background: Domestic violence (DV) is associated with serious consequences for victims, children, and families, and even national economies. An emerging literature demonstrates that DV also has a negative impact on workers and workplaces. Less is known about the extent to which people are aware of coworkers' experiences of DV. Methods: Using data from a pan-Canadian sample of 8,429 men and women, we examine: (1) awareness of coworker DV victimization and perpetration; (2) the warning signs of DV victimization and perpetration recognized by workers; (3) whether DV victims are more likely than nonvictims to recognize DV and its warning signs in the workplace; and (4) the impacts of DV that workers perceive on victims'/perpetrators' ability to work. Results: Nearly 40% of participants believed they had recognized a DV victim and/or perpetrator in the workplace and many reported recognizing more than one warning sign. DV victims were significantly more likely to report recognizing victims and perpetrators in the workplace, and recognized more DV warning signs. Among participants who believed they knew a coworker who had experienced DV, 49.5% thought the DV had affected their coworker's ability to work. For those who knew a coworker perpetrating DV, 37.9% thought their coworker's ability to work was affected by the abusive behavior. Conclusion: Our findings have implications for a coordinated workplace response to DV. Further research is urgently needed to examine how best to address DV in the workplace and improve outcomes for victims, perpetrators, and their coworkers.

A Study on Frequency, Type, and Context of Violence in School-Life Webtoon (학원물 웹툰에 나타난 폭력의 양태와 맥락에 대한 내용분석)

  • Kim, Youn-jong;Mun, Anna
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.245-258
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    • 2020
  • The study analyzed the frequency, type, and context of violence in 10 school-life webtoon published on Korean portal-site, Naver. Results of content analysis showed 2.15 PAT(Perpetrator-Action-Target) per 1 episode. As for the types of violence, physical violence accounted for 73.2 percent of PATs. As for the characteristics of characters, 53.6 percent of those who committed violence were set to have good-looking. 35.9% of those who committed of violence were heros and 37.3% were villains. The case that perpetrator and target were friends accounted for 60.8%. The case that a travesty is made of the violent scenes adopting excessive expressions, overtures, and balloons accounted for 66.7%. The most common motive for violence was the means for the interests and beliefs of individuals and groups (29.4%), followed by fun (20.9%). The case that the punishment or compensation for violence is absent accounted for 79.9%.

The Corelation Research between Cyberbullying and Information Media Use - With Focus on Internet and Mobile Phone Use (사이버불링 발생과 정보매체활용 간의 상관분석 - 인터넷과 휴대전화 사용을 중심으로)

  • Kim, Bongseob;Park, Jongsun;Gam, Dongun;Jin, Sangki
    • The Journal of Korean Association of Computer Education
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    • v.16 no.5
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    • pp.17-29
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    • 2013
  • Cyberbullying has a negative influence on teens. However, the academic approach and try is still an its early stages in spite of the issue of the seriousness and importance. Accordingly, this study conducted a survey of 1,112 elementary, middle and high school students. According to the survey, Internet bullying violence experience was from 20.3% to 39.0%, victim experience from 11.0% to 23.4%, mobile phone bullying violence experience was from 15.9% to 44.1%, victim experience from 5.5% to 21.8%. The factors affecting Internet bullying violence experience were gender, academic stress, internet accessibility, anonymity, use time of internet. The factors affecting mobile phone bullying violence experience were school table, academic stress, mobility, anonymity, use time of mobile phone. Finally, this study grasped the relation between Internet and mobile phone bullying. It was found that Internet bullying violence victim experience had something to do with mobile phone bullying violence victim experience. Especially, Internet bullying violence experience had a lot to do with mobile phone bullying violence experience, Internet bullying victim experience had a lot to do with mobile phone bullying victim experience.

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Real-time Violence Video Detection based on Movement Change Characteristics (움직임 변화 특성기반의 실시간 폭력영상 검출)

  • Kim, Kwangsoo;Kim, Ungtae;Kwak, Sooyeong
    • Journal of Broadcast Engineering
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    • v.22 no.2
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    • pp.234-239
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    • 2017
  • A real-time violence detection algorithm based on a new descriptor using the magnitude and direction changes of movement in images is proposed. The descriptor was developed from the observation that the changes of violent actions are much larger than those of normal movements. Descriptor feature vectors consisting of descriptor values during several frames are obtained and these are inputs to SVM(Support Vector Machine) classifier for discriminating violence actions from and non-violence actions. Comparison experiments between the ViF(Violent Flow) and the proposed algorithm were conducted with three different types of datasets. The experimental results show that the proposed algorithm outperforms the ViF in every case.

Swearword Detection Method Considering Meaning of Words and Sentences (단어와 문장의 의미를 고려한 비속어 판별 방법)

  • Yi, Moung Ho;Lim, Myung Jin;Shin, Ju Hyun
    • Smart Media Journal
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    • v.9 no.3
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    • pp.98-106
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    • 2020
  • Currently, as Internet users increase, the use of swearword is indiscriminately increasing. As a result, cyber violence among teenagers is increasing very seriously, and among them, cyber-language violence is the most serious. In order to eradicate cyber-language violence, research on detection of swearword has been conducted, but the method of detecting swearword by looking at the meaning of words and the flow of context is insufficient. Therefore,in this paper,we propose a method of detecting swearword using FastText model and LSTM model so that deliberately modified swearword and standard language can be accurately detected by looking at the flow of context.

Exposure of Middle School Students to Pornography (일 지역 중학생의 음란물 접촉 실태)

  • Yom, Young-Hee;Yun, Yang-So;Lee, Kyu-Eun
    • Research in Community and Public Health Nursing
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    • v.13 no.1
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    • pp.137-146
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    • 2002
  • Purpose: To analyze the exposure of middle school students to pornography. Method The Questionnaire. The data collected were from November 6 to November 12, 2000. The subjects of this study consisted of 664 middle school students in Kangwon Province. The data collected were analyzed using, percentage, mean, standard deviation, t-test and Pearson Correlation. The Result: The most frequently viewed program was computer pornography. Except no response about eighty-five percent (85%) of the subjects viewed the pornography prior to elementary school. Moreover, The subjects viewed pornography for the first time in a PC room. Lastly, this study found that there was a significant relationship between the frequency. consumed time and numbers of viewing media violence and the impulse to imitate and imitation acting after viewing the pornography. Conclusion: Realistic and future-directed strategies should be developed for middle school students to decrease their exposure to pornography.

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Text-Mining Analyses of News Articles on Schizophrenia (조현병 관련 주요 일간지 기사에 대한 텍스트 마이닝 분석)

  • Nam, Hee Jung;Ryu, Seunghyong
    • Korean Journal of Schizophrenia Research
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    • v.23 no.2
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    • pp.58-64
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    • 2020
  • Objectives: In this study, we conducted an exploratory analysis of the current media trends on schizophrenia using text-mining methods. Methods: First, web-crawling techniques extracted text data from 575 news articles in 10 major newspapers between 2018 and 2019, which were selected by searching "schizophrenia" in the Naver News. We had developed document-term matrix (DTM) and/or term-document matrix (TDM) through pre-processing techniques. Through the use of DTM and TDM, frequency analysis, co-occurrence network analysis, and topic model analysis were conducted. Results: Frequency analysis showed that keywords such as "police," "mental illness," "admission," "patient," "crime," "apartment," "lethal weapon," "treatment," "Jinju," and "residents" were frequently mentioned in news articles on schizophrenia. Within the article text, many of these keywords were highly correlated with the term "schizophrenia" and were also interconnected with each other in the co-occurrence network. The latent Dirichlet allocation model presented 10 topics comprising a combination of keywords: "police-Jinju," "hospital-admission," "research-finding," "care-center," "schizophrenia-symptom," "society-issue," "family-mind," "woman-school," and "disabled-facilities." Conclusion: The results of the present study highlight that in recent years, the media has been reporting violence in patients with schizophrenia, thereby raising an important issue of hospitalization and community management of patients with schizophrenia.

A Case Study of the Use of Artificial Intelligence in a Problem-Based Learning Program for the Prevention of School Violence (학교폭력 예방을 위한 가정과 AI 기반 문제중심학습 수업 사례연구)

  • Jae Young Shim;Saeeun Choi
    • Human Ecology Research
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    • v.61 no.1
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    • pp.15-28
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    • 2023
  • The aim of this study was to develop, implement, and evaluate the use of Artificial Intelligence in the prevention of violence among middle-school students. The sample for this study consisted of 20 first-year middle-school students who participated in theme selection activities in a free semester program as part of their home economics studies. The data for the study consisted of nine class observation logs, four group activity outputs, 30 class results, an online survey, and in-depth interviews with three students. A program called "R.U.OK" was developed by setting problematic situation for school violence prevention linked to the contents of the Home Economics Education(HEE) curriculum. After the program was implemented, the survey on the students' class satisfaction content elements, with AI-based learning activities and PBL and interest, displayed high points, with an average of 4.0 or higher. Our qualitative analysis produced four significant results. First, students' concerns about school violence had increased and they showed a change in attitude, having more empathy with friends and more interest in their surroundings. Second, digital and AI literacy had improved, and students' interest in digital media learning had increased. Third, there had been an improvement in problem-solving ability in terms of being able to think more critically and independently. Fourth, the results also demonstrated that there had been a positive effect on self-direction and an improved capacity for teamwork. This study was significant in demonstrating the effectiveness of a program for the prevention of school violence based on the use of digital technology in the educational environment.