Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter

Detalhes bibliográficos
Autor(a) principal: Recuero, Raquel
Data de Publicação: 2020
Outros Autores: Soares, Felipe, Zago, Gabriela
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1154
Resumo: In this paper, we analyze the circulation of disinformative links about the Covid-19 pandemic on Twitter, using a dataset of 159,560 links collected using Twitter’s API between the months of March and July 2020. By mapping the network and observing the neighborhood of links and the most shared links, we observed a polarization and reduction of the circulation of links according to their direction (either pro hydroxychloroquine or anti hydroxychloroquine). The results also show more activity in the dissemination of pro hydroxychloroquine links, a group where we could also find more disinformation and more hyperpartisan media. Likewise, the circulation of traditional and institutional media is quite reduced in this group, strengthening the association between hyperpartisan media and disinformation.
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spelling Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on TwitterPolarización, hiperpartidismo y cámaras de eco: cómo circula la desinformación sobre Covid-19 en TwitterPolarização, Hiperpartidarismo e Câmaras de Eco: Como circula a Desinformação sobre Covid-19 no TwitterDesinformaçãoTwitterCâmaras de EcoPolarizaçãoLinksDisinformationTwitterEcho chambersPolarizationLinksDesinformacionTwitterPolarizaciónCámaras de ecoLinksIn this paper, we analyze the circulation of disinformative links about the Covid-19 pandemic on Twitter, using a dataset of 159,560 links collected using Twitter’s API between the months of March and July 2020. By mapping the network and observing the neighborhood of links and the most shared links, we observed a polarization and reduction of the circulation of links according to their direction (either pro hydroxychloroquine or anti hydroxychloroquine). The results also show more activity in the dissemination of pro hydroxychloroquine links, a group where we could also find more disinformation and more hyperpartisan media. Likewise, the circulation of traditional and institutional media is quite reduced in this group, strengthening the association between hyperpartisan media and disinformation.En este artículo, analizamos la circulación de enlaces desinformativos sobre la pandemia Covid-19 en Twitter, utilizando un conjunto de datos de 159.560 enlaces recopilados mediante la API de Twitter entre los meses de marzo y julio de 2020. Al mapear la red y observar el vecindario de enlaces y En los eslabones más compartidos, observamos una polarización y reducción de la circulación de los eslabones según su dirección (ya sea pro hidroxicloroquina o anti hidroxicloroquina). Los resultados también muestran más actividad en la difusión de enlaces pro hidroxicloroquina, un grupo donde también podríamos encontrar más desinformación y medios más hiperpartidistas. Asimismo, la circulación de medios tradicionales e institucionales es bastante reducida en este grupo, fortaleciendo la asociación entre medios hiperpartidistas y desinformación.Neste artigo, analisamos a circulação de links desinformativos sobre a pandemia de Covid-19 no Twitter, a partir de um conjunto de 159.560 links coletados da API do Twitter entre os meses de março e julho de 2020. Através de um mapeamento da rede e da observação da vizinhança dos links e dos links mais compartilhados, observamos uma polarização e redução da circulação dos links de acordo com seu sentido (pró-hidroxicloroquina ou anti-hidroxicloroquina). Os resultados também apontam para uma maior atividade na divulgação de links pró-hidroxicloroquina, grupo onde também circula a maior quantidade de desinformação e de veículos hiperpartidários. Do mesmo modo, a circulação de veículos de mídia tradicional e institucionais é bastante reduzida neste grupo, fortalecendo a associação entre mídia hiperpartidária e desinformação.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-08-28info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/115410.1590/SciELOPreprints.1154porhttps://preprints.scielo.org/index.php/scielo/article/view/1154/1740Copyright (c) 2020 Raquel Recuero, Felipe Soares, Gabriela Zagohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRecuero, RaquelSoares, FelipeZago, Gabrielareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-08-28T14:35:07Zoai:ops.preprints.scielo.org:preprint/1154Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-08-28T14:35:07SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
Polarización, hiperpartidismo y cámaras de eco: cómo circula la desinformación sobre Covid-19 en Twitter
Polarização, Hiperpartidarismo e Câmaras de Eco: Como circula a Desinformação sobre Covid-19 no Twitter
title Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
spellingShingle Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
Recuero, Raquel
Desinformação
Twitter
Câmaras de Eco
Polarização
Links
Disinformation
Twitter
Echo chambers
Polarization
Links
Desinformacion
Twitter
Polarización
Cámaras de eco
Links
title_short Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
title_full Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
title_fullStr Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
title_full_unstemmed Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
title_sort Polarization, Hyperpartisanship and Echo Chambers: How the disinformation about Covid-19 circulates on Twitter
author Recuero, Raquel
author_facet Recuero, Raquel
Soares, Felipe
Zago, Gabriela
author_role author
author2 Soares, Felipe
Zago, Gabriela
author2_role author
author
dc.contributor.author.fl_str_mv Recuero, Raquel
Soares, Felipe
Zago, Gabriela
dc.subject.por.fl_str_mv Desinformação
Twitter
Câmaras de Eco
Polarização
Links
Disinformation
Twitter
Echo chambers
Polarization
Links
Desinformacion
Twitter
Polarización
Cámaras de eco
Links
topic Desinformação
Twitter
Câmaras de Eco
Polarização
Links
Disinformation
Twitter
Echo chambers
Polarization
Links
Desinformacion
Twitter
Polarización
Cámaras de eco
Links
description In this paper, we analyze the circulation of disinformative links about the Covid-19 pandemic on Twitter, using a dataset of 159,560 links collected using Twitter’s API between the months of March and July 2020. By mapping the network and observing the neighborhood of links and the most shared links, we observed a polarization and reduction of the circulation of links according to their direction (either pro hydroxychloroquine or anti hydroxychloroquine). The results also show more activity in the dissemination of pro hydroxychloroquine links, a group where we could also find more disinformation and more hyperpartisan media. Likewise, the circulation of traditional and institutional media is quite reduced in this group, strengthening the association between hyperpartisan media and disinformation.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1154
10.1590/SciELOPreprints.1154
url https://preprints.scielo.org/index.php/scielo/preprint/view/1154
identifier_str_mv 10.1590/SciELOPreprints.1154
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1154/1740
dc.rights.driver.fl_str_mv Copyright (c) 2020 Raquel Recuero, Felipe Soares, Gabriela Zago
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Raquel Recuero, Felipe Soares, Gabriela Zago
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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