Banisch
Biographic Data
| ID | 17017 |
|---|---|
| NAME | Banisch |
| FAMILY NAME | Banisch |
| SIGNATURE | BANISCH |
| AFFILIATIONS | Karlsruhe Institute of Technology |
| ORCID | 0000-0002-1263-580X |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 24 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Success-Driven User Activity Contributes to Online Polarization
Online social networks are often seen as a breeding ground of political polarization.This study introduces an additional explanation why, attributing polarization to success-driven user activity.Using an agentbased model, we demonstrate that polarization intensifies when users become more active after experiencing rewarding interactions on the platform.We compare a basic version of Axelrod's cultural dissemination model, which lacks success-drive…
The social dilemma of online segregation: A dynamical model of platform choice
To understand how social media shapes online discourse or contributes to polarization, we need models of collective online choice that link users’ behavioral adaptation to the emergence of complex and dynamic digital environments. This study develops a dynamic model of platform selection based on Social Feedback Theory, using multi-agent reinforcement learning to capture how user decisions are shaped by past rewards across platforms. A key parame…
Validating Argument-Based Opinion Dynamics with Survey Experiments
The empirical validation of models remains one of the most important challenges in opinion dynamics.In this contribution, we report on recent developments on combining data from a survey experiment with an argument-based computational model of opinion formation in which biased processing is the principle mechanism.We first review the development of argument-based models, and extend a model with confirmation bias by noise mimicking an external sou…
Polarization in Social Media: A Virtual Worlds-Based Approach
As social media becomes increasingly integrated within the fabric of our digital lives, it is clear that these platforms have a great impact on our mental well-being and interpersonal relationships. However, recent events and studies suggest that these changes are not always for the better as social media might contribute to social polarization. In this work, we leverage agent-based modelling (ABM) techniques to simulate the associated opinion dy…
Biased Processing and Opinion Polarization: Experimental Refinement of Argument Communication Theory in the Context of the Energy Debate
We combine empirical experimental research on biased argument processing with a computational theory of group deliberation to overcome the micro–macro problem of sociology and to clarify the role of biased processing in debates around energy. We integrate biased processing into the framework of argument communication theory in which agents exchange arguments about a certain topic and adapt opinions accordingly. Our derived mathematical model fits…
Tracking causal relations in the news: Data, tools, and models for the analysis of argumentative statements in online media
Online debates and debate spheres challenge our assumptions about democracy, politics, journalism, trust, and truth in ways that make them a necessary object of study. In the present article, we argue that the study of online arguments can benefit from an interdisciplinary approach that combines computational methods for text analysis with conceptual models of opinion dynamics. The article thereby seeks to make a conceptual and methodological con…
Biased Processing and Opinion Polarisation: Experimental Refinement of Argument Communication Theory in the Context of the Energy Debate
The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration of interaction networks and semantic networks. By lowering the technological barriers of data-driven research, it aims to attra…
An Argument Communication Model of Polarization and Ideological Alignment
A multi-level model of opinion formation is presented which takes into\naccount that attitudes on different issues are usually not independent. In the\nmodel, agents exchange beliefs regarding a series of facts. A cognitive\nstructure of evaluative associations links different (partially overlapping)\nsets of facts to different political issues and determines an agents'\nattitudinal positions in a way borrowed from expectancy value theory. If age…
Opinion polarization by learning from social feedback
We explore a new mechanism to explain polarization phenomena in opinion dynamics in which agents evaluate alternative views on the basis of the social feedback obtained on expressing them. High support of the favored opinion in the social environment, is treated as a positive feedback which reinforces the value associated to this opinion. In connected networks of sufficiently high modularity, different groups of agents can form strong convictions…
The Coconut Model with Heterogeneous Strategies and Learning
In this paper, we develop an agent-based version of the Diamond search equilibrium model -also called Coconut Model. In this model, agents are faced with production decisions that have to be evaluated based on their expectations about the future utility of the produced entity which in turn depends on the global production level via a trading mechanism. While the original dynamical systems formulation assumes an infinite number of homogeneously ad…
Agent-Based Models as Markov Chains
Towards a Theoretical Framework for Analyzing Complex Linguistic Networks
Markov Chain Aggregation for Agent-Based Models
Aggregation and Emergence in Agent-Based Models: A Markov Chain Approach
Agent based models and opinion dynamics as Markov chains
Opinion polarization by learning from social feedback
We explore a new mechanism to explain polarization phenomena in opinion dynamics in which agents evaluate alternative views on the basis of the social feedback obtained on expressing them. High support of the favored opinion in the social environment, is treated as a positive feedback which reinforces the value associated to this opinion. In connected networks of sufficiently high modularity, different groups of agents can form strong convictions…
An Argument Communication Model of Polarization and Ideological Alignment
A multi-level model of opinion formation is presented which takes into\naccount that attitudes on different issues are usually not independent. In the\nmodel, agents exchange beliefs regarding a series of facts. A cognitive\nstructure of evaluative associations links different (partially overlapping)\nsets of facts to different political issues and determines an agents'\nattitudinal positions in a way borrowed from expectancy value theory. If age…
Biased Processing and Opinion Polarization: Experimental Refinement of Argument Communication Theory in the Context of the Energy Debate
We combine empirical experimental research on biased argument processing with a computational theory of group deliberation to overcome the micro–macro problem of sociology and to clarify the role of biased processing in debates around energy. We integrate biased processing into the framework of argument communication theory in which agents exchange arguments about a certain topic and adapt opinions accordingly. Our derived mathematical model fits…
Agent based models and opinion dynamics as Markov chains
Aggregation and Emergence in Agent-Based Models: A Markov Chain Approach
Towards a Theoretical Framework for Analyzing Complex Linguistic Networks
Markov Chain Aggregation for Agent-Based Models
Agent-Based Models as Markov Chains
The Coconut Model with Heterogeneous Strategies and Learning
In this paper, we develop an agent-based version of the Diamond search equilibrium model -also called Coconut Model. In this model, agents are faced with production decisions that have to be evaluated based on their expectations about the future utility of the produced entity which in turn depends on the global production level via a trading mechanism. While the original dynamical systems formulation assumes an infinite number of homogeneously ad…
Opinion polarization by learning from social feedback
We explore a new mechanism to explain polarization phenomena in opinion dynamics in which agents evaluate alternative views on the basis of the social feedback obtained on expressing them. High support of the favored opinion in the social environment, is treated as a positive feedback which reinforces the value associated to this opinion. In connected networks of sufficiently high modularity, different groups of agents can form strong convictions…
Tracking causal relations in the news: Data, tools, and models for the analysis of argumentative statements in online media
Online debates and debate spheres challenge our assumptions about democracy, politics, journalism, trust, and truth in ways that make them a necessary object of study. In the present article, we argue that the study of online arguments can benefit from an interdisciplinary approach that combines computational methods for text analysis with conceptual models of opinion dynamics. The article thereby seeks to make a conceptual and methodological con…
Biased Processing and Opinion Polarisation: Experimental Refinement of Argument Communication Theory in the Context of the Energy Debate
The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks
We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. Combining data collection, transformation and visualization in one easily accessible framework, the twitter explorer connects distant and close reading of Twitter data through the interactive exploration of interaction networks and semantic networks. By lowering the technological barriers of data-driven research, it aims to attra…
An Argument Communication Model of Polarization and Ideological Alignment
A multi-level model of opinion formation is presented which takes into\naccount that attitudes on different issues are usually not independent. In the\nmodel, agents exchange beliefs regarding a series of facts. A cognitive\nstructure of evaluative associations links different (partially overlapping)\nsets of facts to different political issues and determines an agents'\nattitudinal positions in a way borrowed from expectancy value theory. If age…
Polarization in Social Media: A Virtual Worlds-Based Approach
As social media becomes increasingly integrated within the fabric of our digital lives, it is clear that these platforms have a great impact on our mental well-being and interpersonal relationships. However, recent events and studies suggest that these changes are not always for the better as social media might contribute to social polarization. In this work, we leverage agent-based modelling (ABM) techniques to simulate the associated opinion dy…
Biased Processing and Opinion Polarization: Experimental Refinement of Argument Communication Theory in the Context of the Energy Debate
We combine empirical experimental research on biased argument processing with a computational theory of group deliberation to overcome the micro–macro problem of sociology and to clarify the role of biased processing in debates around energy. We integrate biased processing into the framework of argument communication theory in which agents exchange arguments about a certain topic and adapt opinions accordingly. Our derived mathematical model fits…
Validating Argument-Based Opinion Dynamics with Survey Experiments
The empirical validation of models remains one of the most important challenges in opinion dynamics.In this contribution, we report on recent developments on combining data from a survey experiment with an argument-based computational model of opinion formation in which biased processing is the principle mechanism.We first review the development of argument-based models, and extend a model with confirmation bias by noise mimicking an external sou…
Success-Driven User Activity Contributes to Online Polarization
Online social networks are often seen as a breeding ground of political polarization.This study introduces an additional explanation why, attributing polarization to success-driven user activity.Using an agentbased model, we demonstrate that polarization intensifies when users become more active after experiencing rewarding interactions on the platform.We compare a basic version of Axelrod's cultural dissemination model, which lacks success-drive…
The social dilemma of online segregation: A dynamical model of platform choice
To understand how social media shapes online discourse or contributes to polarization, we need models of collective online choice that link users’ behavioral adaptation to the emergence of complex and dynamic digital environments. This study develops a dynamic model of platform selection based on Social Feedback Theory, using multi-agent reinforcement learning to capture how user decisions are shaped by past rewards across platforms. A key parame…
Computer Science (12 works) · Opinion Dynamics and Social Influence (12 works) · Complex Network Analysis Techniques (6 works) · Social Media and Politics (6 works) · Mathematics (5 works) · Polarization (electrochemistry (5 works) · Psychology (5 works) · Artificial Intelligence (4 works) · Complex Systems and Time Series Analysis (4 works) · Data science (4 works)