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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
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Related Experiment Video

Updated: Jun 10, 2025

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
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Why partisans feel hated: Distinct static and dynamic relationships with animosity meta-perceptions.

Jeffrey Lees1,2, Mina Cikara3, James N Druckman4

  • 1Andlinger Center for Energy and the Environment, Princeton University, Princeton, NJ 08540, USA.

PNAS Nexus
|October 16, 2024
PubMed
Summary
This summary is machine-generated.

Political partisans often misunderstand opposing views. This study reveals social media use impacts partisan animosity meta-perceptions differently over time, with increased posting leading to more accurate views within individuals.

Keywords:
electionsintergroup conflictmeta-perceptionspolarizationsocial media

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Area of Science:

  • Political Science
  • Social Psychology
  • Communication Studies

Background:

  • Partisan animosity and inaccurate perceptions of opposing political groups are prevalent.
  • Understanding the drivers of these inaccurate perceptions, particularly partisan animosity meta-perceptions, is crucial for democratic discourse.

Purpose of the Study:

  • To investigate the static and dynamic relationships between predictors and partisan animosity meta-perceptions.
  • To examine how social media political posting relates to individuals' beliefs about how much opposing partisans dislike them.

Main Methods:

  • Utilized panel data from the 2020 US presidential election.
  • Analyzed both cross-sectional (static) and longitudinal (dynamic) relationships between variables and meta-perceptions.
  • Focused on social media political posting as a key predictor.

Main Results:

  • Social media posting showed no static relationship with meta-perceptions across different individuals.
  • Within individuals, increased political posting over time (dynamic) was associated with more accurate meta-perceptions.
  • Findings highlight distinct static and dynamic effects, challenging generalized conclusions.

Conclusions:

  • Oversimplified claims about predictors of partisan animosity meta-perceptions, including social media activity, are often inaccurate.
  • The relationship between meta-perceptions and other factors is context-dependent and can change over time.
  • Dynamic analysis is essential for understanding how individual behaviors influence political perceptions.