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SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests

Large language models (LLMs) are increasingly deployed in contexts where their failures have the potential to carry sociopolitical consequences. However, existing safety benchmarks sparsely test vulnerabilities in domains such as political manipulation, propaganda generation, or surveillance and inf…