Rebalancing Social Feed to Minimize Polarization and Disagreement

This repository contains the code and data to reproduce the results from:

"Rebalancing Social Feed to Minimize Polarization and Disagreement"
by Federico Cinus, Aristides Gionis, and Francesco Bonchi
Published at the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023).

---

Cite

If you use this work, please cite:

@inproceedings{cinus2023rebalancing,
  title={Rebalancing Social Feed to Minimize Polarization and Disagreement},
  author={Cinus, Federico and Gionis, Aristides and Bonchi, Francesco},
  booktitle={Proceedings of the 32nd ACM International Conference on Information and Knowledge Management},
  pages={369--378},
  year={2023}
}

---

Reproducibility

1. Download the new version of the dataset from: https://github.com/FedericoCinus/Query-MinPD
2. Set up the Conda environment using the provided YAML file:

   conda env create -f environment.yml
   conda activate rebalancing-feed

3. Navigate to the scripts/ folder and run the scripts in numerical order.