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dc.contributor.authorHaq, Aniq Hudiyah Bil
dc.contributor.authorRaihana, Permata Ashfi
dc.contributor.authorPurwandari, Eny
dc.date.accessioned2016-08-05T02:48:04Z
dc.date.available2016-08-05T02:48:04Z
dc.date.issued2016-08-01
dc.identifier.citationAntoniadou, N., & Kokkinos, C. M. (2014). Cyber and school bullying: Same or different phenomena? Aggression and Violent Behavior, 25, 363–372. http://doi.org/10.1016/j.avb.2015.09.013. Bastiaensens, S., Vandebosch, H., Poels, K., Van Cleemput, K., Desmet, A., & De Bourdeaudhuij, I. (2014). Cyberbullying on social network sites. An experimental study into bystanders’ behavioural intentions to help the victim or reinforce the bully. Computers in Human Behavior, 31(1), 259–271http://doi.org/10.1016/j.chb.2013.10.036. Cao, B., & Lin, W. Y. (2015). How do victims react to cyberbullying on social networking sites? The influence of previous cyberbullying victimization experiences. Computers in Human Behavior, 52, 458–465. http://doi.org/10.1016/j.chb.2015.06.009. Cassidy, W., Faucher, C., & Jackson, M. (2012). Cyberbullying among youth: A comprehensive review of current international research and its implications and application to policy and practice. School Psychology InternationalBulut & Gudu Smith & Slonje, 34(6), 575–612. http://doi.org/10.1177/0143034313479697. Chen, L., Ho, S. S., & Lwin, M. O. (2016). A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach. New Media & Society. http://doi.org/10.1177/1461444816634037. Connell, N. M., Schell-Busey, N. M., Pearce, a. N., & Negro, P. (2013). Badgrlz? Exploring Sex Differences in Cyberbullying Behaviors. Youth Violence and Juvenile Justice, 12(3), 1541204013503889–. http://doi.org/10.1177/1541204013503889. DeSmet, A., Bastiaensens, S., Van Cleemput, K., Poels, K., Vandebosch, H., Cardon, G., & De Bourdeaudhuij, I. (2016). Deciding whether to look after them, to like it, or leave it: A multidimensional analysis of predictors of positive and negative bystander behavior in cyberbullying among adolescents. Computers in Human Behavior, 57, 398–415. http://doi.org/10.1016/j.chb.2015.12.051. Huang, Y., & Chou, C. (2010). An analysis of multiple factors of cyberbullying among junior high school students in Taiwan. Computers in Human Behavior, 26(6), 1581–1590. http://doi.org/10.1016/j.chb.2010.06.005. Li, Q. (2007). New bottle but old wine: A research of cyberbullying in schools. Computers in Human Behavior, 23(4), 1777–1791. http://doi.org/10.1016/j.chb.2005.10.005. Netzley, P. D. (n.d.). How Serious a Problem Is Cyberbullying? Patterson, L. J., Allan, A., & Cross, D. (2015). Adolescent perceptions of bystanders’ responses to cyberbullying. New Media & Society, 1461444815606369–. http://doi.org/10.1177/1461444815606369. Rahayu, F. S. (2012). cyberbullying sebagai dampak negatif penggunaan teknologi informasi. Journal of Information System, 8(1), 22–31. Smith, P. K. (2016). Cyberbullying Across the Globe. (R. Navarro, Santiago Yubero, & Larranaga Elisa, Eds.)Springer International Publishing Switzerland (Vol. 1). Springer International Publishing Switzerland. http://doi.org/10.1007/978-3-319-25552-1. Suryono, T. H. (2016, May 23). No Title. Solopos.com. Sukoharjo. Retrieved from http://www.solopos.com/2016/05/23/kebakaran-sukoharjo-akibat-dibully-siswi-mim-bakar-ruang-kelas-mim-ngombakan-722132. von Marees, N., & Petermann, F. (2012). Cyberbullying: An increasing challenge for schools. School Psychology International, 33(5), 467–476. http://doi.org/10.1177/0143034312445241. Wegge, D., Vandebosch, H., Eggermont, S., & Pabian, S. (2014). Popularity Through Online Harm: The Longitudinal Associations Between Cyberbullying and Sociometric Status in Early Adolescence. The Journal of Early Adolescence, Advance on, 0272431614556351. http://doi.org/10.1177/0272431614556351. Willard, N. (2007). Educator ’ s Guide to Cyberbullying and Cyberthreats, 1–16.in_ID
dc.identifier.issn2477-3328
dc.identifier.urihttp://hdl.handle.net/11617/7487
dc.description.abstractAdvances in technology have both positive and negative impacts. When an individual acts and it injures another person using information technology media, then it can be considered as an activity of cyberbullying. However, the problems caused by cyberbullying cannot be ignored, especially cyberbullying among the high school students. This study explored the intensity of cyberbullying and other factors (gender, cyberperpetrator, bystanders, forms of cyberbullying and the victims) among high school students in Surakarta. The survey method was performed on 290 students at junior high school and 200 students at senior high school in Surakarta. Data collectionwas assessed by the scale of cyberbullying. The results of this study showed that 308 subjects or around 62.9% had never done cyberbullying activity and 37.1% subject had ever done cyberbullying activity. The respondents did cyberbullying for amusement, it means that one among the intentions of cyberbullying was to make fun someting or someone, because they had many time using the internet access (33.9% had more than 3 hours/day). The forms of cyberbullying in high school students was by sending or posting gossip or rumors to damage a reputation of someone or something.in_ID
dc.language.isoenin_ID
dc.publisherUniversitas Muhammadiyah Surakartain_ID
dc.subjectCyberbulliyingin_ID
dc.subjectSurveyin_ID
dc.subjectHigh School Studentin_ID
dc.titleExploring Cyberbullying among High School Students in Surakartain_ID
dc.typeArticlein_ID


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