Analysis of Political Asymmetries in Misinformation Sharing

This repository provides a Python-based analysis inspired by the study "Differences in misinformation sharing can lead to politically asymmetric sanctions" published in Nature. The analysis investigates the relationship between political orientation and the sharing of low-quality news sources, aiming to replicate key findings from the original study.

Data

The analysis utilizes a dataset detailing user sharing behaviors on the X (old Twitter) platform during the 2020 U.S. presidential election. The dataset is accessible here.

Requirements

To replicate the analysis results, first install the required Python packages by running:

pip install -r requirements.txt

And execute the notebook found here.