Quantitatively modelling opinion dynamics during elections.
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| Title: | Quantitatively modelling opinion dynamics during elections. |
|---|---|
| Authors: | Burke, M. F.1 michael.faure.burke@gmail.com, Searle, C.2 |
| Source: | Orion. 2022, Vol. 38 Issue 2, p123-146. 24p. |
| Subjects: | Political attitudes, Metastable states, Political advertising, Elections, Propaganda |
| Abstract: | Political advertising has become overwhelmingly focused on online platforms, with everimproving capabilities of tailored and targeted advertising to individuals. Modelling the effect of political propaganda on a voting population has become more prevalent in opinion dynamics research, which has become further enabled by the applications of computer simulation and data analysis. In this study we explore the effect of propaganda on a voting population. The agent-based model describes a population of voter agents who hold a political opinion using knowledge and emotion as their control variables. These variables are updated through agent interactions and political propaganda. The model is based on the emotion/information/opinion (E/I/O) approach which is applied to a grid-based and network population. Furthermore, the network is programmed to be partially dynamic, in that connections between disagreeing agents can be severed under certain conditions concerning the intimacy of agent relationships. This is performed with the intention of adding more flexibility to the model, whilst making it a more realistic representation of reality. The different network types are shown to produce varying proportions of metastable agent states from identical starting conditions, which can be used to represent real political situations and predict future change. [ABSTRACT FROM AUTHOR] |
| Copyright of Orion is the property of Operations Research Society of South Africa and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 164456960 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantitatively modelling opinion dynamics during elections. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burke%2C+M%2E+F%2E%22">Burke, M. F.</searchLink><relatesTo>1</relatesTo><i> michael.faure.burke@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Searle%2C+C%2E%22">Searle, C.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Orion%22">Orion</searchLink>. 2022, Vol. 38 Issue 2, p123-146. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Political+attitudes%22">Political attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Metastable+states%22">Metastable states</searchLink><br /><searchLink fieldCode="DE" term="%22Political+advertising%22">Political advertising</searchLink><br /><searchLink fieldCode="DE" term="%22Elections%22">Elections</searchLink><br /><searchLink fieldCode="DE" term="%22Propaganda%22">Propaganda</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Political advertising has become overwhelmingly focused on online platforms, with everimproving capabilities of tailored and targeted advertising to individuals. Modelling the effect of political propaganda on a voting population has become more prevalent in opinion dynamics research, which has become further enabled by the applications of computer simulation and data analysis. In this study we explore the effect of propaganda on a voting population. The agent-based model describes a population of voter agents who hold a political opinion using knowledge and emotion as their control variables. These variables are updated through agent interactions and political propaganda. The model is based on the emotion/information/opinion (E/I/O) approach which is applied to a grid-based and network population. Furthermore, the network is programmed to be partially dynamic, in that connections between disagreeing agents can be severed under certain conditions concerning the intimacy of agent relationships. This is performed with the intention of adding more flexibility to the model, whilst making it a more realistic representation of reality. The different network types are shown to produce varying proportions of metastable agent states from identical starting conditions, which can be used to represent real political situations and predict future change. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Orion is the property of Operations Research Society of South Africa and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5784/38-2-768 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 123 Subjects: – SubjectFull: Political attitudes Type: general – SubjectFull: Metastable states Type: general – SubjectFull: Political advertising Type: general – SubjectFull: Elections Type: general – SubjectFull: Propaganda Type: general Titles: – TitleFull: Quantitatively modelling opinion dynamics during elections. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burke, M. F. – PersonEntity: Name: NameFull: Searle, C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 0259191X Numbering: – Type: volume Value: 38 – Type: issue Value: 2 Titles: – TitleFull: Orion Type: main |
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