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Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
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Ideology, communication and polarization.

Yoshihisa Kashima1, Andrew Perfors1, Vanessa Ferdinand1

  • 1Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|February 22, 2021
PubMed
Summary
This summary is machine-generated.

Ideological commitment and filtered communication increase political polarization. Social network dynamics and homophily can accelerate polarization, creating echo chambers even for non-ideological individuals.

Keywords:
communicationcultural dynamicsopinion dynamicssocial network dynamics

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Area of Science:

  • Computational Social Science
  • Political Psychology
  • Cognitive Science

Background:

  • Political polarization is a growing concern, influenced by individual ideologies and communication patterns.
  • Existing models often overlook the interplay between cognitive processes and social network dynamics.

Purpose of the Study:

  • To develop a computational model integrating ideological cognition and social network dynamics.
  • To explore how these factors influence ideological political discourse and polarization.
  • To examine the role of homophily in forming echo chambers.

Main Methods:

  • Combined a connectionist model of cognition with a computational model of social influence.
  • Explicitly modeled ideologically filtered interpretation and commitment to initial opinions.
  • Simulated communication on dynamically evolving social networks.

Main Results:

  • Ideological interpretation and commitment were found to drive polarization.
  • Communication and social network dynamics were shown to amplify polarization.
  • Homophilous network structures led to echo chamber formation, even for non-ideological agents.

Conclusions:

  • Ideological commitment and filtered communication are key drivers of political polarization.
  • Social network structures, particularly homophily, significantly accelerate and amplify polarization.
  • Computational modeling offers valuable insights into the mechanisms of ideological discourse.