Social Identity and Belief Polarization
Abstract
We study the role of social identity and `groupiness' for the polarization ofpolitical beliefs using an online experiment with a representative sample of the US population,
deployed the week before the 2020 US presidential election. In our experiment, approximately
1,000 participants were incentivized to predict policy-sensitive statistics a year after the election
conditional on its outcome. To update their initial predictions, individuals can select or
exogenously receive articles on the respective topics curated from different news sources. We find
that groupiness, i.e. the behavioral sensitivity to group contexts, is systematically associated with
belief polarization. While participants generally display a partisan bias in both the demand for and
processing of information, this bias is significantly amplified for groupy subjects. Hence, the
susceptibility to adopt polarized political opinions seems related to the instinct to understand the
environment through intergroup distinctions. Finally, we test the effectiveness of reducing the
salience of intergroup distinctions to alleviate biases in opinion formation by de-labeling
information sources. We find that de-labeling is effective in reducing bias for information demand
but not for information processing.