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Related Experiment Video

Updated: Jul 26, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Digital society social interactions and trust analysis model.

Aseem Kumar1, Arun Malik1, Isha Batra1

  • 1School of Computer Science and Engineering, Lovely Professional University, Phagwara, India.

Peerj. Computer Science
|June 22, 2023
PubMed
Summary

This study introduces a computational model to map societal behavior by analyzing trust dynamics. The Digital Society Trust Analysis (D.S.T.A.) model aids understanding in digital societies during crises like COVID-19.

Keywords:
COVID-19Digital sociologyExtremistanSentiment analysisSocietyTrust modelmediocristan

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Area of Science:

  • Computational Social Science
  • Sociology
  • Information Science

Background:

  • Societal structures face significant stress during unprecedented events like the COVID-19 pandemic.
  • There is a growing need to enhance future predictability and reduce uncertainty among stakeholders.
  • Understanding societal dynamics, especially trust, is crucial in digital environments.

Purpose of the Study:

  • To develop a computational model for analyzing trust dynamics in digital societies.
  • To map societal behavior by computing the sentiment of "trust."
  • To improve comprehension of how trust influences group behavior during crises and misinformation.

Main Methods:

  • Construction of a computational model named Digital Society Trust Analysis (D.S.T.A.).
  • Integration of concepts from existing models like Schelling's segregation model and tipping points.
  • Configuration and implementation of a model to analyze trust as a societal behavior indicator.

Main Results:

  • The D.S.T.A. model provides a framework for understanding trust dynamics.
  • The model is designed for simplicity in configuration and implementation.
  • It offers insights into societal behavior influenced by factors like pandemics and fake news.

Conclusions:

  • The D.S.T.A. model enhances understanding of digital society dynamics, particularly trust.
  • The model can be applied to analyze societal responses to complex challenges such as misinformation and pandemics.
  • It serves as a tool for predicting and managing societal behavior in uncertain times.