Analyzing and Identifying Narcissistic Traits in Instagram Reels Through the Application of Machine Learning Algorithms

Abstract

The objective of this research was to investigate and identify narcissism in Instagram Reels content through the use of machine learning algorithms. The research methodology includes data collection, processing, analysis, and the application of machine learning algorithms. Machine learning methods and text analysis are employed to examine the data. The data is classified using the Support Vector Machine (SVM) algorithm, and the outcomes are assessed based on F1, accuracy, and recall metrics. These metrics assist in evaluating the model's performance and accuracy in detecting narcissism and in comparing the model's results with actual data. The findings indicate a strong correlation between narcissism and user behavior on social networks, particularly Instagram.