Understanding who talks about what: comparison between the information treatment in traditional media and online discussions

Autores
Schawe, Hendrik; Beiro, Mariano Gastón; Alvarez Hamelin, José Ignacio; Kotzinos, Dimitris; Hernández, Laura
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We study the dynamics of interactions between a traditional medium, the New York Times journal, and its followers in Twitter, using a massive dataset. It consists of the metadata of the articles published by the journal during the first year of the COVID-19 pandemic, and the posts published in Twitter by a large set of followers of the @nytimes account along with those published by a set of followers of several other media of different kind. The dynamics of discussions held in Twitter by exclusive followers of a medium show a strong dependence on the medium they follow: the followers of @FoxNews show the highest similarity to each other and a strong differentiation of interests with the general group. Our results also reveal the difference in the attention payed to U.S. presidential elections by the journal and by its followers, and show that the topic related to the “Black Lives Matter” movement started in Twitter, and was addressed later by the journal.
Fil: Schawe, Hendrik. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Beiro, Mariano Gastón. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; Argentina
Fil: Alvarez Hamelin, José Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; Argentina
Fil: Kotzinos, Dimitris. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Hernández, Laura. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Materia
SOCIAL MEDIA
AGENDA-SETTING
NEWS MEDIA
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:11336/227740

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spelling Understanding who talks about what: comparison between the information treatment in traditional media and online discussionsSchawe, HendrikBeiro, Mariano GastónAlvarez Hamelin, José IgnacioKotzinos, DimitrisHernández, LauraSOCIAL MEDIAAGENDA-SETTINGNEWS MEDIAhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2https://purl.org/becyt/ford/5.8https://purl.org/becyt/ford/5We study the dynamics of interactions between a traditional medium, the New York Times journal, and its followers in Twitter, using a massive dataset. It consists of the metadata of the articles published by the journal during the first year of the COVID-19 pandemic, and the posts published in Twitter by a large set of followers of the @nytimes account along with those published by a set of followers of several other media of different kind. The dynamics of discussions held in Twitter by exclusive followers of a medium show a strong dependence on the medium they follow: the followers of @FoxNews show the highest similarity to each other and a strong differentiation of interests with the general group. Our results also reveal the difference in the attention payed to U.S. presidential elections by the journal and by its followers, and show that the topic related to the “Black Lives Matter” movement started in Twitter, and was addressed later by the journal.Fil: Schawe, Hendrik. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; FranciaFil: Beiro, Mariano Gastón. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; ArgentinaFil: Alvarez Hamelin, José Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; ArgentinaFil: Kotzinos, Dimitris. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; FranciaFil: Hernández, Laura. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; FranciaNature Publishing Group2023-03info: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/11336/227740Schawe, Hendrik; Beiro, Mariano Gastón; Alvarez Hamelin, José Ignacio; Kotzinos, Dimitris; Hernández, Laura; Understanding who talks about what: comparison between the information treatment in traditional media and online discussions; Nature Publishing Group; Scientific Reports; 13; 1; 3-2023; 1-152045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-023-30367-8info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-023-30367-8info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:02Zoai:ri.conicet.gov.ar:11336/227740instacron: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:34982025-09-03 09:53:02.892CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
title Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
spellingShingle Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
Schawe, Hendrik
SOCIAL MEDIA
AGENDA-SETTING
NEWS MEDIA
title_short Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
title_full Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
title_fullStr Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
title_full_unstemmed Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
title_sort Understanding who talks about what: comparison between the information treatment in traditional media and online discussions
dc.creator.none.fl_str_mv Schawe, Hendrik
Beiro, Mariano Gastón
Alvarez Hamelin, José Ignacio
Kotzinos, Dimitris
Hernández, Laura
author Schawe, Hendrik
author_facet Schawe, Hendrik
Beiro, Mariano Gastón
Alvarez Hamelin, José Ignacio
Kotzinos, Dimitris
Hernández, Laura
author_role author
author2 Beiro, Mariano Gastón
Alvarez Hamelin, José Ignacio
Kotzinos, Dimitris
Hernández, Laura
author2_role author
author
author
author
dc.subject.none.fl_str_mv SOCIAL MEDIA
AGENDA-SETTING
NEWS MEDIA
topic SOCIAL MEDIA
AGENDA-SETTING
NEWS MEDIA
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/5.8
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv We study the dynamics of interactions between a traditional medium, the New York Times journal, and its followers in Twitter, using a massive dataset. It consists of the metadata of the articles published by the journal during the first year of the COVID-19 pandemic, and the posts published in Twitter by a large set of followers of the @nytimes account along with those published by a set of followers of several other media of different kind. The dynamics of discussions held in Twitter by exclusive followers of a medium show a strong dependence on the medium they follow: the followers of @FoxNews show the highest similarity to each other and a strong differentiation of interests with the general group. Our results also reveal the difference in the attention payed to U.S. presidential elections by the journal and by its followers, and show that the topic related to the “Black Lives Matter” movement started in Twitter, and was addressed later by the journal.
Fil: Schawe, Hendrik. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Beiro, Mariano Gastón. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; Argentina
Fil: Alvarez Hamelin, José Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long". Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Tecnologías y Ciencias de la Ingeniería "Hilario Fernández Long"; Argentina
Fil: Kotzinos, Dimitris. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
Fil: Hernández, Laura. Centre National de la Recherche Scientifique. Laboratoire Pmmh-umr 7636; Francia
description We study the dynamics of interactions between a traditional medium, the New York Times journal, and its followers in Twitter, using a massive dataset. It consists of the metadata of the articles published by the journal during the first year of the COVID-19 pandemic, and the posts published in Twitter by a large set of followers of the @nytimes account along with those published by a set of followers of several other media of different kind. The dynamics of discussions held in Twitter by exclusive followers of a medium show a strong dependence on the medium they follow: the followers of @FoxNews show the highest similarity to each other and a strong differentiation of interests with the general group. Our results also reveal the difference in the attention payed to U.S. presidential elections by the journal and by its followers, and show that the topic related to the “Black Lives Matter” movement started in Twitter, and was addressed later by the journal.
publishDate 2023
dc.date.none.fl_str_mv 2023-03
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dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/227740
Schawe, Hendrik; Beiro, Mariano Gastón; Alvarez Hamelin, José Ignacio; Kotzinos, Dimitris; Hernández, Laura; Understanding who talks about what: comparison between the information treatment in traditional media and online discussions; Nature Publishing Group; Scientific Reports; 13; 1; 3-2023; 1-15
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/227740
identifier_str_mv Schawe, Hendrik; Beiro, Mariano Gastón; Alvarez Hamelin, José Ignacio; Kotzinos, Dimitris; Hernández, Laura; Understanding who talks about what: comparison between the information treatment in traditional media and online discussions; Nature Publishing Group; Scientific Reports; 13; 1; 3-2023; 1-15
2045-2322
CONICET Digital
CONICET
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