Quantitatively modelling opinion dynamics during elections.

Saved in:
Bibliographic Details
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
Header DbId: egs
DbLabel: Engineering Source
An: 164456960
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=164456960
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
ResultId 1