A computational cognitive model for political positioning and reactions in web media

E. Fernandes de Mello Araujo, Michel Klein

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

76 Downloads (Pure)

Abstract

This paper presents a computational cognitive model about political positioning inspired on recent insights from neuroscience and psychology. We describe a model that takes into consideration the individual structures of the brain and the environmental influences that may interfere on how a political positioning is shaped in a social media environment. Results also consider the social contagion effect. We use the model to provide simulations of how the political positioning of artificial agents change under different circumstances.

Original languageEnglish
Title of host publication2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
Subtitle of host publication[Proceedings]
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages414-422
Number of pages9
ISBN (Electronic)9781538607718
ISBN (Print)9781538607725
DOIs
Publication statusPublished - 2017
Event16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 - Oxford, United Kingdom
Duration: 26 Jul 201728 Jul 2017

Conference

Conference16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
Country/TerritoryUnited Kingdom
CityOxford
Period26/07/1728/07/17

Funding

E.F.M. Araujo’s funding is provide by the Brazilian Science without Borders Program, through the Coordination for the Improvement of Higher Education Personnel, CAPES (reference 13538-13-6).

Keywords

  • agent-based modeling
  • cognitive process models
  • political positioning
  • social contagion

Fingerprint

Dive into the research topics of 'A computational cognitive model for political positioning and reactions in web media'. Together they form a unique fingerprint.

Cite this