Computational Model Library

The role of argument strength and informational biases in polarization and bipolarization effects (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.

Associated Publications

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

Submitted by Davide Chiarella Published Mar 30, 2023 Last modified Mar 30, 2023
agent-based computational modelling in social sciences Argument Communication Theory of Bi-polarization Persuasive Argument Theory quantitative bipolar graphs agent-based computational model informational biases

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.

Cite this Model

Davide Chiarella, Carlo Proietti (2023, March 30). “The role of argument strength and informational biases in polarization and bipolarization effects” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/111d9aa8-c24f-4eae-9e3f-9f709a5ba072/releases/1.0.0/

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Contributors
Davide Chiarella Carlo Proietti
External Repository
github.com/drchiarre/actb
DOI
No assigned DOI
Model Version
1.0.0
License
CC-BY-NC-SA-4.0
Programming Language
Python 3
Software Framework
Python 3
Operating System
Operating System Independent
Publish Date
Thursday, March 30, 2023
Last Updated
Thursday, March 30, 2023
Downloads 19
Peer Review
Unreviewed
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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