Thought Studies

June 2026 Digest

Thought Studies posts from June 1, 2026 to June 30, 2026.

AI-generated highlights

This digest summary is generated by AI from human-approved Thought Studies links.

June's selections converged on the mechanisms by which beliefs resist revision and drive polarization. Multiple studies examined motivated reasoning: one explored its neural correlates, identifying separate but interacting networks for desirability and identity biases; another applied it to health misinformation, showing how directional goals protect existing beliefs. Intellectual humility emerged as a potential corrective, with evidence that it predicts engagement with opposing information and modest belief updating. The role of emotion in polarization was a recurring theme: one paper found that perceived threat, when coupled with anger, amplifies affective polarization, while another revealed that partisans strategically ascribe emotions to distinguish ingroup from outgroup. Together, these findings illustrate the tight coupling of cognition, emotion, and identity in belief maintenance and group conflict. They also point to small openings for belief change, whether through individual dispositions like intellectual humility or through understanding the neural and emotional architecture that sustains division.

  1. Intellectual humility as a tool to combat false beliefs: An individual‐based approach to belief revision Paper: February 29, 2024Posted:
    Advanced Metacognition
    Summary: This research examines whether intellectual humility—recognizing one's intellectual limits—encourages revision of false beliefs after exposure to counter-information. Two studies found that higher intellectual humility predicted greater exploration of opposing information, which in turn was associated with belief updating, although direct effects were modest, offering moderate support for intellectual humility as a tool for combatting misinformation.
  2. Threats, Emotions, and Affective Polarization Paper: May 24, 2023Posted:
    Social Cognition & Group IdentityPolarization, Conflict & DivisionCognitive Bias & Motivated Reasoning
    Summary: This study examines how perceived intergroup threats, when met with anger, increase affective polarization by distancing individuals from opposing party supporters, highlighting the role of specific emotional reactions in political division.
  3. We love, they hate: Emotions in affective polarization and how partisans may use them Paper: January 19, 2024Posted:
    Thought-Emotion ConnectionCognitive Bias & Motivated ReasoningSocial Cognition & Group Identity
    Summary: This study argues that affectively polarized partisans strategically report emotions to distinguish their ingroup from outgroups, ascribing desirable emotions to their own side and undesirable ones to opponents, thereby reinforcing polarization. It highlights how emotional language shapes political cognition and group identity.
  4. What drives people to prefer health-related misinformation? The viewpoint of motivated reasoning Paper: 2022Posted:
    Cognitive Bias & Motivated ReasoningBelief Formation & Belief RevisionThought-Emotion Connection
    Summary: This paper argues that the motivated reasoning approach explains why people prefer health-related misinformation, driven by directional goals that foster confirmation and disconfirmation biases to protect existing beliefs and identities, highlighting the psychological mechanisms behind resistance to accurate health information.
  5. Tracking politically motivated reasoning in the brain: the role of mentalizing, value-encoding, and error detection networks Paper: 2024Posted:
    Cognitive Neuroscience & Neural MechanismsCognitive Bias & Motivated ReasoningBelief Formation & Belief Revision
    Summary: This study uses fMRI to examine the neural mechanisms underlying politically motivated reasoning, identifying distinct brain networks for desirability bias (value-encoding, error detection, mentalizing) and identity bias (mentalizing). It demonstrates that both biases are driven by similar neural processes across opposing ideological groups, contributing to understanding belief polarization and biased information processing.