Strategic Behavior and the Limits of Algorithmic Gerrymandering Detection

• In Event: Methodological Advances in the Study of Elections

Brief Overview

Gerrymandering detection algorithms ignore that redistricting alters voter/candidate behavior. We model turnout, choice and platform selection to show detection depends on the initial plan’s bias and confirm these dynamics in 2022 U.S. election data.

Authors

• Scott F Abramson, University of Rochester

• Alice Brocheux, University of Rochester