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Speaking of Opinions: Comparing Approaches to Modelling Opinion Manipulation

This review outlines the major approaches to modelling opinion formation and manipulation in mathematics and computer science. Key tools such as ordinary and partial differential equations, stochastic models, control theory, and interaction protocols are introduced and compared as methods for describing manipulation. The review is separated into those models using a continuous opinion space and those using discrete or binary opinions, with the advantages and disadvantages of each discussed. Finally, the authors provide an interdisciplinary perspective on the field of opinion dynamics and its social significance.

preprint2026arXivOpen access
Luisa EstradaSasha GlendinningAndrew Nugent
physics.soc-phmath.OC
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Open access3 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Luisa EstradaSasha GlendinningAndrew Nugent

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Speaking of Opinions: Comparing Approaches to Modelling Opinion Manipulation | BZPEER | BZPEER