osome-iu / low-cred-superspreaders

Develop and test a simple metric (FIB index) for predicting superspreaders of misinformation on social media.

low-cred-superspreaders

Code repository for the paper, "Identifying and characterizing superspreaders of low-credibility content on Twitter."

• Authors: Matthew R. DeVerna, Rachith Aiyappa, Diogo Pacheco, John Bryden, and Filippo Menczer
• Arxiv paper

Contents

• data/: data used in this project
  • We cannot share raw Decahose data as we would be breaking a contract with Twitter. Instead, we share tweet IDs for rehydration.
• figures/: publication figures
• notebooks/: Jupyter notebooks utilized to create the figures for the paper and conduct analyses
• src_clean/: scripts utilized for data collection and analysis
• config.ini: a project configuration file

Code note

An early version of this paper referred to the $h$-index metric as the FIB-index. As a result, the code reflects this nomenclature.