README.md

metadata

license: mit

A variety of scenarios in which large language models, connected via a communication network, exchange opinions with one another.

Specifically, we vary:

1. model types
2. debate topics
3. communication networks
4. system prompts
5. initial opinion distributions

Each experiment is stored in a separate json file and includes details about variables 1-5, in addition to the exchanged texts and the corresponding sentiment scores.

This dataset supports the paper:

Iris Yazici, Mert Kayaalp, Stefan Taga, Ali H. Sayed, “Opinion Consensus Formation Among Networked Large Language Models,” arXiv:2601.21540, 2026.

Citation

If you use this dataset, please cite:

@article{yazici2026opinion,
  title   = {Opinion Consensus Formation Among Networked Large Language Models},
  author  = {Yazici, Iris and Kayaalp, Mert and Taga, Stefan and Sayed, Ali H.},
  journal = {arXiv preprint arXiv:2601.21540},
  month   = {Jan}, 
  year    = {2026},
}