Every vote you make: attachment and state culture predict bipartisanship in U.S. Congress

Dritjon Gruda*, Paul Hanges, Eimante Mikneviciute, Dimitra Karanatsiou, Athena Vakali

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Do politicians' relational traits predict their bipartisan voting behavior? In this paper, we empirically test and find that relational individual dispositions, namely attachment orientations and conformity to cultural norms, can predict the bipartisan voting behavior of politicians in the United States House of Representatives and Senate. We annotated politicians' tweets using a machine learning approach paired with archival resources to obtain politicians' home-state looseness-tightness culture scores. Anxiously-attached politicians were less likely to be bipartisan than avoidantly-attached individuals. Bipartisan voting behavior was less likely in politicians whose home state was less tolerant of deviation from cultural norms. We discuss these results and possible implications, such as the preemptive assessment of politicians' bipartisanship likelihood based on attachment and state cultural pressure to adhere to group norms.

Original languageEnglish
Article number112576
Number of pages7
JournalPersonality and Individual Differences
Volume222
DOIs
Publication statusPublished - May 2024

Keywords

  • Attachment
  • Bipartisanship
  • Machine learning
  • Personality
  • Tightness-looseness

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