Predictive Modeling of Cluster B Personality Traits through Al-Based Social Media Behavioural Analytics

Recent advances in artificial intelligence (AI) and computational psychology have opened new pathways for understanding the complex behavioural dynamics of Cluster B personality traits-namely narcissistic, borderline, histrionic, and antisocial patterns through the lens of social media activity. This study proposes a data-driven predictive model integrating machine learning and linguistic feature extraction to classify and forecast the behavioural tendencies associated with Cluster B personalities. Using a dataset of over ۱۲۰,۰۰۰ anonymized social media posts drawn from multiple platforms between ۲۰۲۱ and ۲۰۲۴, natural language processing (NLP) and sentiment trajectory mapping were employed to identify latent patterns in tone, emotional valence, interaction frequency, and topic engagement. Feature selection was optimized through recursive elimination and correlation filtering to enhance interpretability and mitigate algorithmic bias. Supervised learning models-including Random Forest, XGBoost, and Bidirectional LSTM networks-were trained and evaluated using cross-validation techniques, achieving an average accuracy of ۸۷.۲% in differentiating among the subtypes of Cluster B traits. The results demonstrated that high linguistic variability, self-referential pronoun density, and emotionally charged lexicons strongly correlated with narcissistic and borderline features, whereas impulsivity markers and aggressive polarity shifts were predictive of antisocial tendencies. Beyond diagnostic prediction, this framework provides an ethically grounded method for mapping digital behavioural signatures with clinical implications for early intervention and psychotherapeutic monitoring. The integration of AI-based behavioural analytics and personality theory offers a scalable paradigm for modern mental health informatics and a new interdisciplinary bridge between computational engineering and psychological science.

کلیدواژه ها:

Artificial intelligence ، Cluster B personality traits ، Social media behaviour ، Machine learning ، Computational psychology