Polarization dynamics: a study of individuals shifting between political communities on social media

Autores
Albanese, Federico; Feuerstein, Esteban Zindel; Balenzuela, Pablo
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Purpose-Led Publishing, find out more.Paper • The following article isOpen accessPolarization dynamics: a study of individuals shifting between political communities on social mediaFederico Albanese*, Esteban Feuerstein and Pablo BalenzuelaPublished 2 August 2024 • © 2024 The Author(s). Published by IOP Publishing LtdJournal of Physics: Complexity, Volume 5, Number 3Citation Federico Albanese et al 2024 J. Phys. Complex. 5 035008DOI 10.1088/2632-072X/ad679dDownloadArticle PDFAuthorsFiguresTablesReferencesOpen scienceDownload PDFArticle metrics496 Total downloadsArticle has an altmetric score of 3SubmitSubmit to this JournalShare this articleArticle informationAbstractIndividuals engaging on social media often tend to establish online communities where interactions predominantly occur among like-minded peers. While considerable efforts have been devoted to studying and delineating these communities, there has been limited attention directed towards individuals who diverge from these patterns. In this study, we examine the community structure of re-post networks within the context of a polarized political environment at two different times. We specifically identify individuals who consistently switch between opposing communities and analyze the key features that distinguish them. Our investigation focuses on two crucial aspects of these users: the topological properties of their interactions and the political bias in the content of their posts. Our analysis is based on a dataset comprising 2 million tweets related to US President Donald Trump, coupled with data from over 100 000 individual user accounts spanning the 2020 US presidential election year. Our findings indicate that individuals who switch communities exhibit disparities compared to those who remain within the same communities, both in terms of the topological aspects of their interaction patterns (pagerank, degree, betweenness centrality.) and in the sentiment bias of their content towards Donald Trump.
Fil: Albanese, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; Argentina
Fil: Feuerstein, Esteban Zindel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Materia
Complex Networks
Social Networks
political polarization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/264093
Acceder
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spelling Polarization dynamics: a study of individuals shifting between political communities on social mediaAlbanese, FedericoFeuerstein, Esteban ZindelBalenzuela, PabloComplex NetworksSocial Networkspolitical polarizationhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Purpose-Led Publishing, find out more.Paper • The following article isOpen accessPolarization dynamics: a study of individuals shifting between political communities on social mediaFederico Albanese*, Esteban Feuerstein and Pablo BalenzuelaPublished 2 August 2024 • © 2024 The Author(s). Published by IOP Publishing LtdJournal of Physics: Complexity, Volume 5, Number 3Citation Federico Albanese et al 2024 J. Phys. Complex. 5 035008DOI 10.1088/2632-072X/ad679dDownloadArticle PDFAuthorsFiguresTablesReferencesOpen scienceDownload PDFArticle metrics496 Total downloadsArticle has an altmetric score of 3SubmitSubmit to this JournalShare this articleArticle informationAbstractIndividuals engaging on social media often tend to establish online communities where interactions predominantly occur among like-minded peers. While considerable efforts have been devoted to studying and delineating these communities, there has been limited attention directed towards individuals who diverge from these patterns. In this study, we examine the community structure of re-post networks within the context of a polarized political environment at two different times. We specifically identify individuals who consistently switch between opposing communities and analyze the key features that distinguish them. Our investigation focuses on two crucial aspects of these users: the topological properties of their interactions and the political bias in the content of their posts. Our analysis is based on a dataset comprising 2 million tweets related to US President Donald Trump, coupled with data from over 100 000 individual user accounts spanning the 2020 US presidential election year. Our findings indicate that individuals who switch communities exhibit disparities compared to those who remain within the same communities, both in terms of the topological aspects of their interaction patterns (pagerank, degree, betweenness centrality.) and in the sentiment bias of their content towards Donald Trump.Fil: Albanese, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; ArgentinaFil: Feuerstein, Esteban Zindel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; ArgentinaFil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaIOP Publishing2024-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/264093Albanese, Federico; Feuerstein, Esteban Zindel; Balenzuela, Pablo; Polarization dynamics: a study of individuals shifting between political communities on social media; IOP Publishing; Journal of Physics: Complexity; 5; 3; 8-2024; 1-92632-072XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/2632-072X/ad679dinfo:eu-repo/semantics/altIdentifier/doi/10.1088/2632-072X/ad679dinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:23:52Zoai:ri.conicet.gov.ar:11336/264093instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:23:52.844CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Polarization dynamics: a study of individuals shifting between political communities on social media
title Polarization dynamics: a study of individuals shifting between political communities on social media
spellingShingle Polarization dynamics: a study of individuals shifting between political communities on social media
Albanese, Federico
Complex Networks
Social Networks
political polarization
title_short Polarization dynamics: a study of individuals shifting between political communities on social media
title_full Polarization dynamics: a study of individuals shifting between political communities on social media
title_fullStr Polarization dynamics: a study of individuals shifting between political communities on social media
title_full_unstemmed Polarization dynamics: a study of individuals shifting between political communities on social media
title_sort Polarization dynamics: a study of individuals shifting between political communities on social media
dc.creator.none.fl_str_mv Albanese, Federico
Feuerstein, Esteban Zindel
Balenzuela, Pablo
author Albanese, Federico
author_facet Albanese, Federico
Feuerstein, Esteban Zindel
Balenzuela, Pablo
author_role author
author2 Feuerstein, Esteban Zindel
Balenzuela, Pablo
author2_role author
author
dc.subject.none.fl_str_mv Complex Networks
Social Networks
political polarization
topic Complex Networks
Social Networks
political polarization
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Purpose-Led Publishing, find out more.Paper • The following article isOpen accessPolarization dynamics: a study of individuals shifting between political communities on social mediaFederico Albanese*, Esteban Feuerstein and Pablo BalenzuelaPublished 2 August 2024 • © 2024 The Author(s). Published by IOP Publishing LtdJournal of Physics: Complexity, Volume 5, Number 3Citation Federico Albanese et al 2024 J. Phys. Complex. 5 035008DOI 10.1088/2632-072X/ad679dDownloadArticle PDFAuthorsFiguresTablesReferencesOpen scienceDownload PDFArticle metrics496 Total downloadsArticle has an altmetric score of 3SubmitSubmit to this JournalShare this articleArticle informationAbstractIndividuals engaging on social media often tend to establish online communities where interactions predominantly occur among like-minded peers. While considerable efforts have been devoted to studying and delineating these communities, there has been limited attention directed towards individuals who diverge from these patterns. In this study, we examine the community structure of re-post networks within the context of a polarized political environment at two different times. We specifically identify individuals who consistently switch between opposing communities and analyze the key features that distinguish them. Our investigation focuses on two crucial aspects of these users: the topological properties of their interactions and the political bias in the content of their posts. Our analysis is based on a dataset comprising 2 million tweets related to US President Donald Trump, coupled with data from over 100 000 individual user accounts spanning the 2020 US presidential election year. Our findings indicate that individuals who switch communities exhibit disparities compared to those who remain within the same communities, both in terms of the topological aspects of their interaction patterns (pagerank, degree, betweenness centrality.) and in the sentiment bias of their content towards Donald Trump.
Fil: Albanese, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; Argentina
Fil: Feuerstein, Esteban Zindel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
description Purpose-Led Publishing, find out more.Paper • The following article isOpen accessPolarization dynamics: a study of individuals shifting between political communities on social mediaFederico Albanese*, Esteban Feuerstein and Pablo BalenzuelaPublished 2 August 2024 • © 2024 The Author(s). Published by IOP Publishing LtdJournal of Physics: Complexity, Volume 5, Number 3Citation Federico Albanese et al 2024 J. Phys. Complex. 5 035008DOI 10.1088/2632-072X/ad679dDownloadArticle PDFAuthorsFiguresTablesReferencesOpen scienceDownload PDFArticle metrics496 Total downloadsArticle has an altmetric score of 3SubmitSubmit to this JournalShare this articleArticle informationAbstractIndividuals engaging on social media often tend to establish online communities where interactions predominantly occur among like-minded peers. While considerable efforts have been devoted to studying and delineating these communities, there has been limited attention directed towards individuals who diverge from these patterns. In this study, we examine the community structure of re-post networks within the context of a polarized political environment at two different times. We specifically identify individuals who consistently switch between opposing communities and analyze the key features that distinguish them. Our investigation focuses on two crucial aspects of these users: the topological properties of their interactions and the political bias in the content of their posts. Our analysis is based on a dataset comprising 2 million tweets related to US President Donald Trump, coupled with data from over 100 000 individual user accounts spanning the 2020 US presidential election year. Our findings indicate that individuals who switch communities exhibit disparities compared to those who remain within the same communities, both in terms of the topological aspects of their interaction patterns (pagerank, degree, betweenness centrality.) and in the sentiment bias of their content towards Donald Trump.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/264093
Albanese, Federico; Feuerstein, Esteban Zindel; Balenzuela, Pablo; Polarization dynamics: a study of individuals shifting between political communities on social media; IOP Publishing; Journal of Physics: Complexity; 5; 3; 8-2024; 1-9
2632-072X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/264093
identifier_str_mv Albanese, Federico; Feuerstein, Esteban Zindel; Balenzuela, Pablo; Polarization dynamics: a study of individuals shifting between political communities on social media; IOP Publishing; Journal of Physics: Complexity; 5; 3; 8-2024; 1-9
2632-072X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/2632-072X/ad679d
info:eu-repo/semantics/altIdentifier/doi/10.1088/2632-072X/ad679d
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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