Paul Joae Brett Nito, Malisa Ariani, O. Manto, Dewi Wulandari
{"title":"大学生网络欺凌的识别与分类","authors":"Paul Joae Brett Nito, Malisa Ariani, O. Manto, Dewi Wulandari","doi":"10.26714/mki.5.4.2022.302-308","DOIUrl":null,"url":null,"abstract":"The development of technology not only has a positive impact but also has a negative impact. One of them is the shift in bullying trends, from traditional bullying to cyberbullying. Based on a report, as many as 210.3 million internet users aged 13-17 years ranked third in using social media. Cyberbullying victims in Indonesia reach 41-50% and 80% of teenagers become victims of cyberbullying. This study aims to determine the incidence of cyberbullying in students. Using an analytical survey research method with a cross-sectional survey design. Data collection through Cyberbullying and Online Aggression Survey questionnaires and data processing is presented in the form of a frequency distribution. The results showed that 125 respondents (75%) who experienced cyberbullying with types of cyberbullying included flaming 32,14%; exclusion 62,75%; harassment 47,44%; flooding 50%; masquerade log in 42,34%; trolling 25,52%; denigration 19,89%; outing 25%; dan sexual harassment 15,3%. The incidence of cyberbullying in adolescents is still high and all types of cyberbullying have been experienced by adolescents.","PeriodicalId":199429,"journal":{"name":"Media Keperawatan Indonesia","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identification and Classsification Cyber Bullying among University’s Students\",\"authors\":\"Paul Joae Brett Nito, Malisa Ariani, O. Manto, Dewi Wulandari\",\"doi\":\"10.26714/mki.5.4.2022.302-308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of technology not only has a positive impact but also has a negative impact. One of them is the shift in bullying trends, from traditional bullying to cyberbullying. Based on a report, as many as 210.3 million internet users aged 13-17 years ranked third in using social media. Cyberbullying victims in Indonesia reach 41-50% and 80% of teenagers become victims of cyberbullying. This study aims to determine the incidence of cyberbullying in students. Using an analytical survey research method with a cross-sectional survey design. Data collection through Cyberbullying and Online Aggression Survey questionnaires and data processing is presented in the form of a frequency distribution. The results showed that 125 respondents (75%) who experienced cyberbullying with types of cyberbullying included flaming 32,14%; exclusion 62,75%; harassment 47,44%; flooding 50%; masquerade log in 42,34%; trolling 25,52%; denigration 19,89%; outing 25%; dan sexual harassment 15,3%. The incidence of cyberbullying in adolescents is still high and all types of cyberbullying have been experienced by adolescents.\",\"PeriodicalId\":199429,\"journal\":{\"name\":\"Media Keperawatan Indonesia\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Media Keperawatan Indonesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26714/mki.5.4.2022.302-308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Media Keperawatan Indonesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26714/mki.5.4.2022.302-308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification and Classsification Cyber Bullying among University’s Students
The development of technology not only has a positive impact but also has a negative impact. One of them is the shift in bullying trends, from traditional bullying to cyberbullying. Based on a report, as many as 210.3 million internet users aged 13-17 years ranked third in using social media. Cyberbullying victims in Indonesia reach 41-50% and 80% of teenagers become victims of cyberbullying. This study aims to determine the incidence of cyberbullying in students. Using an analytical survey research method with a cross-sectional survey design. Data collection through Cyberbullying and Online Aggression Survey questionnaires and data processing is presented in the form of a frequency distribution. The results showed that 125 respondents (75%) who experienced cyberbullying with types of cyberbullying included flaming 32,14%; exclusion 62,75%; harassment 47,44%; flooding 50%; masquerade log in 42,34%; trolling 25,52%; denigration 19,89%; outing 25%; dan sexual harassment 15,3%. The incidence of cyberbullying in adolescents is still high and all types of cyberbullying have been experienced by adolescents.