Person-to-person opinion dynamics: An empirical study using an online game

Johnathan A Adams; Gentry White; Robyn P Araujo

doi:10.1371/journal.pone.0275473

Person-to-person opinion dynamics: An empirical study using an online game

PLoS One. 2022 Oct 6;17(10):e0275473. doi: 10.1371/journal.pone.0275473. eCollection 2022.

Authors

Johnathan A Adams¹, Gentry White^{1

2}, Robyn P Araujo^{1

3}

Affiliations

¹ School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
² QUT Centre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia.
³ Institute of Health and Biomedical Innovation, Kelvin Grove, Queensland, Australia.

Abstract

A model needs to make verifiable predictions to have any scientific value. In opinion dynamics, the study of how individuals exchange opinions with one another, there are many theoretical models which attempt to model opinion exchange, one of which is the Martins model, which differs from other models by using a parameter that is easier to control for in an experiment. In this paper, we have designed an experiment to verify the Martins model and contribute to the experimental design in opinion dynamic with our novel method.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Attitude*
Empirical Research
Humans
Models, Theoretical*

Grants and funding

Robyn P. Araujo is the recipient of an Australian Research Council (ARC) (https://www.arc.gov.au/) Future Fellowship (project number FT190100645) funded by the Australian Government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.