İnsan Hakları Bağlamında Göç ve Mültecilik Olgusu: Makine Öğrenmesi Tabanlı Bir Söylem ve İçerik Analizi Yaklaşımı

This study analyzes the phenomenon of migration and refugees within the framework of human rights. The research examines the events that took place in Kayseri in July 2024, evaluating the level of social acceptance of refugees and the discursive effects of the media. A mixed-methods approach, incorporating both qualitative and quantitative data analysis, was adopted. The study employed document analysis, content analysis, statistical methods, and machine learning techniques. Official documents, media reports, and social media content were analyzed using MAXQDA and SPSS software, as well as the BERT machine learning model.The findings indicate that discourses about refugees are strongly influenced by media and political narratives. As a result, the study emphasizes the necessity of aligning migration policies with international norms within the framework of migration management and human rights.