Quantifying the uncertainty of LLM hallucination spreading in complex adaptive social networks
Abstract Large language models (LLMs) are becoming a significant source of content generation in social networks, which is a typical complex adaptive system (CAS). However, due to their hallucinatory nature, LLMs produce false information that can spread through social networks, which will impact th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-66708-4 |