Discovery and characterisation of socially polarised communities on social media

Abstract Social polarisation processes have become a central phenomenon for the explanation of population behavioural dynamics in today's societies. Although recent works offer solutions for the detection of polarised political communities in social media, there is still a lack of works that al...

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Main Authors: Javier Alvarez-Galvez, Fermin L. Cruz, Jose A. Troyano
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-42592-2
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author Javier Alvarez-Galvez
Fermin L. Cruz
Jose A. Troyano
author_facet Javier Alvarez-Galvez
Fermin L. Cruz
Jose A. Troyano
author_sort Javier Alvarez-Galvez
collection DOAJ
description Abstract Social polarisation processes have become a central phenomenon for the explanation of population behavioural dynamics in today's societies. Although recent works offer solutions for the detection of polarised political communities in social media, there is still a lack of works that allow an adequate characterization of the specific topics on which these divides between social groups are articulated. Our study aims to discover and characterise antagonistic communities on Twitter based on a method that combines the identification of authorities and textual classifiers around three public debates that have recently produced major controversies: (1) vaccination; (2) climate change; and (3) abortion. The proposed method allows the capture of polarised communities with little effort, requiring only the selection of some terms that characterise the topic and some initial authorities. Our findings show that the processes of social polarisation can vary considerably depending on the subject on which the debates are articulated. Specifically, polarisation manifests more prominently in the realms of vaccination and abortion, whereas this divide is less apparent in the context of climate change.
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spelling doaj.art-4e915e3b965e4836b245aeff72c537fb2023-11-26T12:58:29ZengNature PortfolioScientific Reports2045-23222023-09-0113111210.1038/s41598-023-42592-2Discovery and characterisation of socially polarised communities on social mediaJavier Alvarez-Galvez0Fermin L. Cruz1Jose A. Troyano2Department of Biomedicine, Biotechnology and Public Health, University of CadizDepartment of Computer Languages and Systems, University of Seville, Avda. Reina Mercedes s/nDepartment of Computer Languages and Systems, University of Seville, Avda. Reina Mercedes s/nAbstract Social polarisation processes have become a central phenomenon for the explanation of population behavioural dynamics in today's societies. Although recent works offer solutions for the detection of polarised political communities in social media, there is still a lack of works that allow an adequate characterization of the specific topics on which these divides between social groups are articulated. Our study aims to discover and characterise antagonistic communities on Twitter based on a method that combines the identification of authorities and textual classifiers around three public debates that have recently produced major controversies: (1) vaccination; (2) climate change; and (3) abortion. The proposed method allows the capture of polarised communities with little effort, requiring only the selection of some terms that characterise the topic and some initial authorities. Our findings show that the processes of social polarisation can vary considerably depending on the subject on which the debates are articulated. Specifically, polarisation manifests more prominently in the realms of vaccination and abortion, whereas this divide is less apparent in the context of climate change.https://doi.org/10.1038/s41598-023-42592-2
spellingShingle Javier Alvarez-Galvez
Fermin L. Cruz
Jose A. Troyano
Discovery and characterisation of socially polarised communities on social media
Scientific Reports
title Discovery and characterisation of socially polarised communities on social media
title_full Discovery and characterisation of socially polarised communities on social media
title_fullStr Discovery and characterisation of socially polarised communities on social media
title_full_unstemmed Discovery and characterisation of socially polarised communities on social media
title_short Discovery and characterisation of socially polarised communities on social media
title_sort discovery and characterisation of socially polarised communities on social media
url https://doi.org/10.1038/s41598-023-42592-2
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