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Spor Seyircisi; bir müsabakayı izleyen kişiye, taraftar ise; bir spor kulübünü takip edip onu destekleyen bireylere denir. Taraftarlık sosyal hayatın pek çok alanında kendini göstermektedir. Taraftarlığın oluşabilmesi için değerleri farklı olan birden fazla düşünce bulunmalıdır. Taraftar kendi düşüncesini karşı taraftan farklı hisseden ve değerlerinin farkındalığıdır. Teknolojinin kötü niyetli bireyler tarafından kullanılması geleneksel zorbalığın sanal ortamlarda yaşanan siber zorbalığa dönüşmesine neden olmuştur. Bu çalışmanın amacı, farklı branş seyircisi olan askeri üniversitede öğrenim gören öğrencilerinin, siber zorbalık davranışlarının incelenmesidir. Bu araştırmada tarama modeli kullanılmıştır. Araştırmanın evrenini, Jandarma ve Sahil Güvenlik Akademisinde öğrenim gören 300 akademi öğrencisi oluşturmaktadır. Çalışmanın veri toplama aracı, kişisel bilgi formu ve Karaca (2019) tarafından geliştirilen ‘‘siber zorbalık davranışları ölçeği’’ kullanılmıştır. Verilerin analizinde One Way ANOVA ve Tukey testleri kullanılmıştır. Çalışma sonucuna göre, çalışmaya katılan öğrencilerin siber zorbalık düzeyleri ile müsabaka izleme sıklığı arasındaki anlamlı sonuç bulunmuştur. Araştırmaya katılan Katılımcıların %40,66’sı futbol, %33,66’sı basketbol, %17,3’ü voleybol, %4,6’sı hentbol ve %3,6’sı ise diğer branşların spor seyircisidir. Çalışmaya dahil edilen akademi öğrencilerinin siber zorbalık düzeyleri ile tercih ettiği spor branşı değişkeni arasında ki sonuca bakıldığında, siber zorbalık ile spor branşı değişkeni arasında anlamlı sonuca ulaşılmıştır. Siber zorbalık ile futbol branşı seyircilerinin zorbalık skorlarının basketbol, voleybol, hentbol ve diğer spor branşı seyircileri siber zorbalık dereceleri anlamlı derecede yüksek olduğu görülmüştür.
The sport audience is called the person who follows a competition, the fan is the person who follows a sport club and supports it. The opposition manifests itself in many areas of social life. There must be more than one thought that the values are different in order to form opposition. The supporter is the one who feels his own thoughts different from the opposite and conscious of their values. The use of the technology by malicious individuals has led to the transformation of traditional harassment into cyber harassment in virtual environments. The aim of this study is to study the behavior of cyber harassment of students studying at a military university with different branch audiences. In this study, the screening model was used. The universe of research consists of 300 academic students studying at the Jandarma and Coast Security Academy. The study’s data collection tool, personal information form and the “square of cyber fraud behavior” developed by Karaca (2019) were used. The data analysis used the One Way ANOVA and Tukey tests. According to the study, a meaningful result was found between the levels of cyber harassment of the students who participated in the study and the frequency of competition tracking. In the survey, 40.66% of participants were football, 33.66% basketball, 17.3% volleyball, 4.6% hentai and 3.6% sports audience from other branches. According to the study, a significant conclusion has been made between the levels of cyber harassment and the sports industry variable that the students prefer, the cyber harassment and the sports industry variable. Cybersecurity and football industry audiences have seen the scores of the scores of basketball, volleyball, hentai and other sports industry audiences the scores of the scores of the scores of the scores of the scores of the scores are significantly high.
Sports Spectator; to the person watching a competition, if it is a fan; individuals who follow and support a sports club. Advocacy manifests itself in many areas of social life. In order for partisanship to occur, there must be more than one thought with different values. The fan is someone who feels his own opinion different from the other side and is aware of his values. The use of technology by malicious individuals has led to the transformation of traditional bullying into cyberbullying in virtual environments. The aim of this study is to examine the cyberbullying behaviors of students studying at military universities with different branch audiences. In this research, screening model was used. The universe of the study consists of 300 academy students studying at the Gendarmerie and Coast Guard Academy. The data collection tool, personal information form and the "cyberbullying behaviors scale" developed by Karaca (2019) were used. One Way ANOVA and Tukey tests were used in the analysis of the data. According to the results of the study, a significant result was found between the cyberbullying levels of the students participating in the study and the frequency of watching the competition. 40.66% of the participants who participated in the research were football, 33.66% were basketball, 17.3% were volleyball, 4.6% were handball and 3.6% were sports spectators of other branches. When the result between the cyber bullying levels of the academy students included in the study and the preferred sports branch variable was examined, a significant result was reached between cyber bullying and the sports branch variable. It was observed that the bullying scores of the spectators of the football branch with cyber bullying were significantly higher than the cyberbullying scores of the spectators of basketball, volleyball, handball and other sports branches.
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Uluslararası
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