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Counter-attitudinal Information Doesn't Spark Backlash? New Survey Experiments Disprove the Norm.
Insights from the Field
Counterattitudinal Information
Survey Experiment
Mechanical Turk
Nationally Representative Sample
Political Behavior
BJPS
7 R files
3 datasets
1 text files
Dataverse
Does Counter-Attitudinal Information Cause Backlash? Results from Three Large Survey Experiments was authored by Andrew Guess and Alexander Coppock. It was published by Cambridge in BJPS in 2020.

New survey experiments challenge widespread assumptions about backlash against counter-evidence. The research, conducted across three large samples including nationally representative data and Mechanical Turk platforms, finds little to no evidence of this phenomenon occurring.

The study formalizes how backlash can be measured by exposing participants to opposing viewpoints under theoretically optimal conditions for its appearance.

Key Findings:

* No statistically significant increase in adherence to pre-existing political opinions was observed following exposure to counter-evidence across all three experiments.

* The lack of backlash effect holds regardless of politically relevant topics or the strength of initial attitudes.

These results suggest that backlash is less common and robust than previously thought. This has important implications for theories regarding information processing, attitude change, and political polarization.

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British Journal of Political Science
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