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Bias in Poll Evaluations Reinforces Personal Beliefs Despite Consensus
Insights from the Field
confirmation bias
polling consensus
partisanship
survey experiment
Political Behavior
Pol. Behav.
2 R files
2 datasets
Dataverse
All the Best Polls Agree With Me: Bias in Evaluations of Political Polling was authored by Sunshine Hillygus and Gabriel Madson. It was published by Springer in Pol. Behav. in 2020.

This study reveals how individuals' evaluations of political polls often align with their preexisting biases, even when the polls themselves reflect broad agreement. Using a mixed-methods approach involving survey experiments and content analysis, researchers found that partisan supporters selectively endorsed poll results consistent with their views while dismissing those inconsistent.

Key Findings:

* Poll evaluations exhibit strong confirmation bias

* Agreement among polls does not eliminate viewer bias

* This effect varies by political issue salience and media source trustworthiness

Why It Matters:

These findings highlight a significant challenge in democratic discourse. When citizens interpret poll data through their ideological lens, they may perceive consensus where there isn't it or misinterpret its implications.

The study quantifies this bias using novel metrics based on perceived poll methodology strength across partisan divides. Results show that belief-driven interpretation reduces the potential of polls to inform public opinion about political reality.

This research underscores the need for more nuanced communication strategies from media outlets presenting polling data.

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Political Behavior
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