AI RESEARCH
Debiasing International Attitudes: LLM Agents for Simulating US-China Perception Changes
arXiv CS.AI
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ArXi:2508.08837v3 Announce Type: replace-cross Large Language Models (LLMs) offer transformative opportunities to address the longstanding challenge of modeling opinion evolution in computational social science. This study investigates how media influences cross-border attitudes - a key driver of global polarization - by developing an LLM-agent framework to disentangle sources of bias and assess LLMs' capacity for human-like opinion formation in response to external information. We