Learning versus Unlearning: An Experiment on Retractions

Working Paper: NBER ID: w29512

Authors: Duarte Gonalves; Jonathan Libgober; Jack Willis

Abstract: Widely discredited ideas nevertheless persist. Why do we fail to “unlearn”? We study the effectiveness of retractions—the revoking of earlier information—in correcting beliefs. Our experimental design identifies belief updating from retractions— unlearning—and compares it to updating from equivalent new information—learning. Subjects do not fully unlearn from retractions and update approximately one-third less from retractions versus new information. Although we document several well-known biases in belief updating, our results require an explanation that treats retractions as intrinsically different. We find evidence for one such mechanism, while ruling out several others: retractions are more complex than direct information.

Keywords: retractions; belief updating; misinformation; experimental design

JEL Codes: D8; D83; D91


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Retractions (Y60)Belief Updating (D83)
New Information (D83)Belief Updating (D83)
Retractions (Y60)Response Times (C41)
Retractions (Y60)Variance in Belief Updating (D80)
Retractions (Y60)Anti-Confirmation Bias (D91)

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