Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization
A novel framework using "The Extremist Eleven" factors successfully analyzes and predicts extremist behavior across different online communities by examining verbal behavioral signatures. The method demonstrates high predictive accuracy, identifying potential extremists up to 10 months before they join extremist communities, while showing that users maintain consistent extremist traits after joining these forums.
Jan 1, 2025
The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots
AI-generated text, while coherent and human-like, exhibits significantly less variation in psychological traits compared to human-authored content, consistently modeling an "average" human personality. This limitation makes AI text distinguishable from human writing through analysis of fundamental human traits, revealing current AI's inability to capture the full spectrum of human psychological diversity.
Jan 1, 2025
Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis
Jan 1, 2024
Adaptive Language-based Mental Health Assessment with Item-Response Theory
Jan 1, 2023
V-formation via model predictive control
Jan 1, 2020