An audit of Twitter's shadowban sanctions in the United States

EasyChair Preprint 6003

Abstract

We audit Twitter's shadow ban algorithms for ideological bias, by testing the profile and content visibility for a representative sample of US users. Controlling for incivility, bot-like behavior, and network size, there is little to suggest that right wing accounts are indeed more likely to be shadow banned.

Keyphrases: Shadowban, Twitter, polarization

@booklet{EasyChair:6003,
  author    = {Kokil Jaidka and Subhayan Mukerjee and Yphtach Lelkes},
  title     = {An audit of Twitter's shadowban sanctions in the United States},
  howpublished = {EasyChair Preprint 6003},
  year      = {EasyChair, 2021}}