Radical social movements often remain hidden, limiting traditional research approaches. This study leverages automated text analysis on the North American Animal Liberation Movement's primary publication to systematically examine its topical agenda.

Dataset & Methods:

Analysis of texts from this movement’s main source reveals evolving themes over time.

• Radicalization narratives
• Direct action tactics
• Ideological shifts in animal rights discourse

Key Findings:

Our research uncovers nuanced attention cycles across four critical areas:

• Networking strategies: How connections shape the movement's reach and influence
• (Non)violence debates: Frequency and evolution of violent vs. nonviolent advocacy mentions
• Radicalization trajectories: Measurable increases in extremist language usage
• Direct action patterns: Clear temporal clusters emerge from automated content analysis

Real-World Relevance:

These findings demonstrate the practical value of computational methods for political scientists studying hidden social movements.

This approach provides novel insights into radical activism, revealing predictive patterns within animal rights discourse.