scholarly journals Opinion Dynamics and Collective Risk Perception: An Agent-Based Model of Institutional and Media Communication About Disasters

2021 ◽  
Vol 24 (1) ◽  
Author(s):  
Francesca Giardini ◽  
Daniele Vilone
Keyword(s):  
Risk Perception ◽  
Opinion Dynamics ◽  
Agent Based Model ◽  
Media Communication ◽  
Agent Based ◽  
Collective Risk

scholarly journals Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks

2013 ◽  
Vol 11 (1) ◽  
pp. 51-70 ◽  
Author(s):  
Andreas Koulouris ◽  
Ioannis Katerelos ◽  
Theodore Tsekeris
Keyword(s):  
Social Networks ◽  
Opinion Dynamics ◽  
Agent Based Model ◽  
Agent Based

scholarly journals An agent-based model of multi-dimensional opinion dynamics and opinion alignment

2020 ◽  
Vol 30 (9) ◽  
pp. 093139 ◽  
Author(s):  
Simon Schweighofer ◽  
David Garcia ◽  
Frank Schweitzer
Keyword(s):  
Opinion Dynamics ◽  
Agent Based Model ◽  
Agent Based

scholarly journals An agent-based model of multi-dimensional opinion dynamics and opinion alignment

2020 ◽  
Author(s):  
Simon Schweighofer ◽  
David Garcia ◽  
Frank Schweitzer
Keyword(s):  
Resistance To Change ◽  
Dimensional Space ◽  
Opinion Dynamics ◽  
Emergent Properties ◽  
Agent Based Model ◽  
Agent Based ◽  
Ideological Dimension ◽  
The Individual ◽  
Dissonance Theory ◽  
Proximity Voting

It is known that individual opinions on different policy issues often align to a dominant ideological dimension (e.g. ``left'' vs. ``right'') and become increasingly polarized. We provide an agent-based model that reproduces these two stylized facts as emergent properties of an opinion dynamics in a multi-dimensional space of continuous opinions. The mechanisms for the change of agents' opinions in this multi-dimensional space are derived from cognitive dissonance theory and structural balance theory. We test assumptions from proximity voting and from directional voting regarding their ability to reproduce the expected emerging properties. We further study how the emotional involvement of agents, i.e. their individual resistance to change opinions, impacts the dynamics. We identify two regimes for the global and the individual alignment of opinions. If the affective involvement is high and shows a large variance across agents, this fosters the emergence of a dominant ideological dimension. Agents align their opinions along this dimension in opposite directions, i.e. create a state of polarization.

scholarly journals Mixing Dyadic and Deliberative Opinion Dynamics in an Agent-Based Model of Group Decision-Making

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-31
Author(s):  
George Butler ◽  
Gabriella Pigozzi ◽  
Juliette Rouchier
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Opinion Dynamics ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Agent Based Model ◽  
Social Modeling ◽  
Agent Based ◽  
Collective Decisions ◽  
Collective Deliberation

In this article, we propose an agent-based model of opinion diffusion and voting where influence among individuals and deliberation in a group are mixed. The model is inspired from social modeling, as it describes an iterative process of collective decision-making that repeats a series of interindividual influences and collective deliberation steps, and studies the evolution of opinions and decisions in a group. It also aims at founding a comprehensive model to describe collective decision-making as a combination of two different paradigms: argumentation theory and ABM-influence models, which are not obvious to combine as a formal link between them is required. In our model, we find that deliberation, through the exchange of arguments, reduces the variance of opinions and the proportion of extremists in a population as long as not too much deliberation takes place in the decision processes. Additionally, if we define the correct collective decisions in the system in terms of the arguments that should be accepted, allowing for more deliberation favors convergence towards the correct decisions.

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