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    Siber alanda tespit edilen zorbalık türlerinin istatistiksel analizi
    (Hitit Üniversitesi, 2025) Tuzcu, Merve; Coşar, Mustafa
    The rapid advancement of today's technological developments, the spread of technological technologies and their widespread use have led to an increase in the use of the internet network. The Internet allows us to easily access many parts of the world. Social media platforms, in particular, allow individuals to be present and communicate and express themselves easily, anywhere and everywhere in the world. Thanks to these opportunities, many people can express any change, feelings and information through texts and visuals. In the study, the types of bullying detected in cyberspace were analyzed according to the education level and developments experienced. The aim of the study is to support research on the reduction and reduction of bullying and to create a permanent solution to bullying. In the study, a cyberbullying dataset consisting of bullying posts made on a social media platform published in the Proceedings of the 2020 IEEE International Big Data Conference was used (J. Wang, K. Fu, CT Lu. 2020). There are more than 47 thousand bullying posts in the dataset. These posts are divided into groups of religion, ethnicity, age, gender and other posts. The ''Age'' category was used in the study. There are 7993 posts in this category. 6006 of these posts are related to bullying experienced at different education levels. The distribution of bullying posts detected in the cyberspace was first analyzed according to education levels, then the distribution was examined according to the average age range. These posts will be classified as emotional, physical, social, sexual and cyber, and then the bullying was numerically analyzed according to education levels and types. The numerical distributions of the dataset according to bullying types, education levels and age were organized in the Microsoft Excel program. Statistical analysis of numerical tables prepared in Microsoft Excel was performed using SPSS V30 statistical analysis program. General Linear Model (GLM) test was used in SPSS V30 program to analyze whether cyberbullying types are age-related.