Talk2AI: A Longitudinal Dataset of Human--AI Persuasive Conversations
Talk2AI is a large-scale longitudinal dataset of 3,080 conversations (totaling 30,800 turns) between human participants and Large Language Models (LLMs), designed to support research on persuasion, opinion change, and human-AI interaction. The corpus was collected from 770 profiled Italian adults across four weekly sessions in Spring 2025, using a within-subject design in which each participant conversed with a single model (GPT-4o, Claude Sonnet 3.7, DeepSeek-chat V3, or Mistral Large) on three socially relevant topics: climate change, math anxiety, and health misinformation. Each conversation is linked to rich contextual data, including sociodemographic characteristics and psychometric ...
| Authors | Alexis Carrillo, Enrique Taietta, Ali Aghazadeh Ardebili et al. |
|---|---|
| Primary category | cs.HC |
| Published | 6 April 2026 |
| Last updated at source | 6 April 2026 |
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