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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/227740
Ver los metadatos del registro completo
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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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article |
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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 |
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http://hdl.handle.net/11336/227740 |
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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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