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2026
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| Online-Zugang: | https://doi.org/10.5281/zenodo.19734878 |
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| author | Ionut Virgil Serban Bogdan Patrut Valer Nimineț |
| author_facet | Ionut Virgil Serban Bogdan Patrut Valer Nimineț |
| contents | <p>As illustrated in Figure 6, effective governance requires intervention across multiple layers of the digital platform ecosystem. Platform design constraints may help reduce the amplification of highly emotionally charged content by introducing diversity-enhancing exposure mechanisms and limiting excessive engagement-driven ranking dynamics. Audit and mitigation processes feed back into platform design and algorithmic systems, enabling adaptive intervention and continuous reduction of systemic amplification risks.<br>Continuous monitoring systems can identify early signals of radicalisation trajectories through indicators such as extremity drift and engagement volatility. Independent auditing structures provide external oversight capable of evaluating systemic platform risks, while neurocognitive risk modelling enables regulators to assess the broader psychological effects of algorithmically mediated information environments. Taken together, these mechanisms form an integrated governance architecture designed to<br>address the structural amplification processes that may contribute to algorithmically mediated radicalisation.<br><br></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19734878 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
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| spellingShingle | Algorithmic Deviance and Radicalisation in Digital Platform Societies: Neurocognitive Reinforcement and AI Recommendation Systems - Figure 6 Ionut Virgil Serban Bogdan Patrut Valer Nimineț <p>As illustrated in Figure 6, effective governance requires intervention across multiple layers of the digital platform ecosystem. Platform design constraints may help reduce the amplification of highly emotionally charged content by introducing diversity-enhancing exposure mechanisms and limiting excessive engagement-driven ranking dynamics. Audit and mitigation processes feed back into platform design and algorithmic systems, enabling adaptive intervention and continuous reduction of systemic amplification risks.<br>Continuous monitoring systems can identify early signals of radicalisation trajectories through indicators such as extremity drift and engagement volatility. Independent auditing structures provide external oversight capable of evaluating systemic platform risks, while neurocognitive risk modelling enables regulators to assess the broader psychological effects of algorithmically mediated information environments. Taken together, these mechanisms form an integrated governance architecture designed to<br>address the structural amplification processes that may contribute to algorithmically mediated radicalisation.<br><br></p> |
| title | Algorithmic Deviance and Radicalisation in Digital Platform Societies: Neurocognitive Reinforcement and AI Recommendation Systems - Figure 6 |
| url | https://doi.org/10.5281/zenodo.19734878 |