activity
20092024
most citedOpinion Polarization by Learning from Social Feedback

107 citations · 282 across the 22 of their papers we have counts for

collaborators

25 papers

physics.soc-ph2024

Mean-field analysis for cognitively-grounded opinion dynamics with confirmation bias

Sven Banisch, Joris Wessels

Understanding how individuals' beliefs and attitudes evolve within a population is crucial for explaining social phenomena such as polarization and consensus formation. We explore…

nlin.AO2024★ 2 cited

A dynamical model of platform choice and online segregation

Sven Banisch, Dennis Jacob, Tom Willaert +1

In order to truly understand how social media might shape online discourses or contribute to societal polarization, we need refined models of platform choice, that is: models that…

physics.soc-ph2023★ 3 cited

How opinions get more extreme in an age of information abundance

Guillaume Deffuant, Marijn A. Keijzer, Sven Banisch

We live in an age of information abundance but know little about how this influences our opinions or attitudes. A common expectation is that people consulting numerous pieces of in…

physics.soc-ph2022★ 1 cited

Biased processing and opinion polarization: experimental refinement of argument communication theory in the context of the energy debate

Sven Banisch, Hawal Shamon

In sociological research, the study of macro processes, such as opinion polarization, faces a fundamental problem, the so-called micro-macro problem. To overcome this problem, we c…

physics.soc-ph2022

Validating argument-based opinion dynamics with survey experiments

Sven Banisch, Hawal Shamon

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 s…

physics.soc-ph2022★ 5 cited

Order-disorder transition in the zero-temperature Ising model on random graphs

Armin Pournaki, Eckehard Olbrich, Sven Banisch +1

The zero-temperature Ising model is known to reach a fully ordered ground state in sufficiently dense random graphs. In sparse random graphs, the dynamics gets absorbed in disorder…