Predicting Social Media Addiction Using Data Mining Techniques: Development of a Web-Based Decision Support System
The purpose of this study is to analyze high school students’ social media usage habits, develop a classification model to predict social media addiction risk, and design a web-based decision support system. Data were collected from 495 students enrolled in different types of high schools in Tokat city center, consisti...