Opinion dynamics modelling: distinct attraction and repulsion topologies highlight quantitative effects of trolling
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866909946434551808 |
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| author | Boyce, Jake Farina, Matteo McKerral, Jody Shelyag, Sergiy Zuparic, Mathew |
| author_facet | Boyce, Jake Farina, Matteo McKerral, Jody Shelyag, Sergiy Zuparic, Mathew |
| contents | We introduce a model of opinion dynamics based on networked non-linear differential equations. The model combines a linear attraction with a repulsive hyperbolic tangent interaction, labeled controversialness. For low controversialness the model displays universal consensus, which is typical of opinion models. As controversialness increases, opinion behaviours such as polarisation, clustering and dissensus emerge, dependent on the network topology. By placing attractive and repulsive interactions on distinct networks, this model is able to simulate the manipulative effects of trolls by introducing controversy, which may be associated with mis/disinformation, toxic messaging, and encouraging provocative questioning and/or emotional posting. This work offers an analytical and statistical analysis of model results, under a wide variety of topologies and initial conditions, whilst also generalising cluster detection algorithms typically applied to discrete models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_05725 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Opinion dynamics modelling: distinct attraction and repulsion topologies highlight quantitative effects of trolling Boyce, Jake Farina, Matteo McKerral, Jody Shelyag, Sergiy Zuparic, Mathew Physics and Society Dynamical Systems We introduce a model of opinion dynamics based on networked non-linear differential equations. The model combines a linear attraction with a repulsive hyperbolic tangent interaction, labeled controversialness. For low controversialness the model displays universal consensus, which is typical of opinion models. As controversialness increases, opinion behaviours such as polarisation, clustering and dissensus emerge, dependent on the network topology. By placing attractive and repulsive interactions on distinct networks, this model is able to simulate the manipulative effects of trolls by introducing controversy, which may be associated with mis/disinformation, toxic messaging, and encouraging provocative questioning and/or emotional posting. This work offers an analytical and statistical analysis of model results, under a wide variety of topologies and initial conditions, whilst also generalising cluster detection algorithms typically applied to discrete models. |
| title | Opinion dynamics modelling: distinct attraction and repulsion topologies highlight quantitative effects of trolling |
| topic | Physics and Society Dynamical Systems |
| url | https://arxiv.org/abs/2512.05725 |