Skip to content

Latest commit

 

History

History
17 lines (14 loc) · 992 Bytes

README.md

File metadata and controls

17 lines (14 loc) · 992 Bytes
Raw

Rebalancing Social Feed to Minimize Polarization and Disagreement

This repository contains code and data to reproduce our 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

@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 dataset from the link "soon available" and copy it into the root folder.
  2. Install the Conda environment by executing the following command using the provided YAML file.
  3. Go into the script folder and run the scripts following the numerical order.