Prosocial Persuasion at Scale? Large Language Models Outperform Humans in Donation Appeals Across Levels of Personalization
arXiv:2604.03202v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly regarded as having the potential to generate persuasive content at scale. While previous studies have focused on the risks associated with LLM-generated misinformation, the role of LLMs in enabling prosocial persuasion is still underexplored. We investigate whether donation appeals authored by LLMs are as effective as those written by humans across degrees of personalization. Two preregistered onlin
Record details
Published: 21 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Misinformation · Finance, VC & PE
Retrieved: 21 July 2026
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How to cite this record
ethics.ai (21 July 2026), “Prosocial Persuasion at Scale? Large Language Models Outperform Humans in Donation Appeals Across Levels of Personalization,” evidence record 11950, https://ethics.ai/record/11950 (originally published by arXiv cs.CY).
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