Computational Model Library

The role of argument strength and informational biases in polarization and bipolarization effects (version 1.0.0)

The model explores the informational causes of polarization and bi-polarization of opinions in groups. To this end it expands the model of the Argument Communication Theory of Bi-polarization. The latter is an argument-based multi-agent model of opinion dynamics inspired by Persuasive Argument Theory. The original model can account for polarization as an outcome of pure informational influence, and reproduces bi-polarization effects by postulating an additional mechanism of homophilous selection of communication partners. The expanded model adds two dimensions: argument strength and more sophisticated protocols of informational influence (argument communication and opinion update).

Release Notes

The software provided is currently in its alpha version, as is, and requires engineering improvements to automate the process of changing various options. Therefore, manual modifications are necessary at this stage.

Version Submitter First published Last modified Status
1.0.0 Davide Chiarella Thu Mar 30 12:26:09 2023 Thu Mar 30 12:26:09 2023 Published

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