This research analyzes the characteristics of users who spread hate speech on social media platforms, providing insights for more effective detection and intervention strategies.

• User-focused approach that examines spreader characteristics rather than just content analysis
• Identifies distinct patterns across different types of hate speech (e.g., political hate)
• Reveals key psychological and behavioral traits associated with hate speech resharing
• Contributes to security frameworks by helping platforms identify and mitigate harmful content spread before escalation

This work matters for security professionals as it provides actionable intelligence on identifying potential hate speech spreaders, enabling more targeted intervention before online hate translates to real-world violence.

Analyzing User Characteristics of Hate Speech Spreaders on Social Media