Reasoner Outperforms: Generative Stance Detection with Rationalization for Social Media
Stance detection is vital for promoting a trustworthy, human-centric Web by identifying biased or harmful narratives in user-generated content. Whereas recent LLM-based methods excel in accuracy, they often lack interpretability. We propose a generative stance detection approach that outputs explicit rationales and distills them into smaller language models (SLMs) via single-task and multitask leaPowered by Seed HypermediaOpen App