Are LLMs Ready for Conflict Monitoring? Empirical Evidence from West Africa

This paper evaluates open-weight and domain-adapted Large Language Models (LLMs) for conflict event classification in West Africa. The study reveals that open-weight models exhibit a "False Illegitimation" bias, while domain-adapted models achieve directional neutrality but retain an actor-based selection bias.