Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior
Large Language Models (LLMs) can strongly shape social discourse, yet datasets investigating how LLM outputs vary across controlled social and contextual prompting remain sparse. Cognitive Digital Shadows (CDS) is a 190,000-record synthetic corpus supporting analyses of LLM-generated discourse. Each CDS record is generated by one of 19 LLMs, prompted to shadow either a human persona or an AI-assistant role. CDS contains LLM responses on 4 controversial societal topics: vaccines/healthcare, socia
Record details
Published: 30 April 2026
Source: arXiv
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (30 April 2026), “Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior,” evidence record 5174, https://ethics.ai/record/5174 (originally published by arXiv).
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