Sven Banisch
Biographic Data
| ID | 3926074 |
|---|---|
| NAME | Sven Banisch |
| GIVEN NAMES | Sven |
| FAMILY NAME | Banisch |
| SIGNATURE | BANISCH S |
| AFFILIATIONS | Max Planck Institute for Mathematics in the Sciences (MPI-MiS), Leipzig, Germany and Karlsruhe Institute of Technology, Institute of Technology Futures (KIT-ITZ), Karlsruhe, Germany |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
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
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
No prominent works on this page.
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
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
Computer Science (7 works) · Opinion Dynamics and Social Influence (6 works) · Complex Network Analysis Techniques (4 works) · Machine learning (4 works) · Markov chain (4 works) · Mathematics (4 works) · Complex Systems and Time Series Analysis (3 works) · Markov process (3 works) · Artificial Intelligence (2 works) · Data science (2 works)