Computational Mechanisms Underlying Partisan-Motivated Reasoning

What explains partisan divides over basic facts? We tackle this question with a sequential sampling task to examine how partisans gather and evaluate information about the honesty of Democrat and Republican candidates. Drift diffusion models reveal that biases reflect both a prior beliefs and asymmetrical integration of unreliable favorable information.