Evaluating the persuasive influence of political microtargeting with large language models
SignificanceAdvances in large language models (LLMs) have raised concerns over scalable, personalized political persuasion. Here, we integrate user data into GPT-4 prompts in real-time, facilitating the live creation of messages tailored to persuade individual users on political issues. We then depl...
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| Published in: | Proceedings of the National Academy of Sciences - PNAS 2024-06, Vol.121 (24), p.e2403116121, Article e2403116121 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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