Displacing Misinformation about Events: An Experimental Test of Causal Corrections

Brendan Nyhan and Jason Reifler

Journal of Experimental Political Science, 2015, vol. 2, issue 1, 81-93

Abstract: Misinformation can be very difficult to correct and may have lasting effects even after it is discredited. One reason for this persistence is the manner in which people make causal inferences based on available information about a given event or outcome. As a result, false information may continue to influence beliefs and attitudes even after being debunked if it is not replaced by an alternate causal explanation. We test this hypothesis using an experimental paradigm adapted from the psychology literature on the continued influence effect and find that a causal explanation for an unexplained event is significantly more effective than a denial even when the denial is backed by unusually strong evidence. This result has significant implications for how to most effectively counter misinformation about controversial political events and outcomes.

Date: 2015
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