AI RESEARCH
Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text
arXiv CS.AI
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ArXi:2601.17172v2 Announce Type: replace-cross Large language models (LLMs) are increasingly capable of generating personalized, persuasive text at scale, raising new questions about bias and fairness in automated communication. This paper presents the first systematic analysis of how LLMs behave when tasked with graphic-conditioned targeted messaging. We