Data based on independent newsletters and content curation: The editors' view

This dataset includes 15 semi-structured interviews were conducted between 2022 and 2023 with editors of independent newsletters, specifically those lacking affiliation with mainstream media outlets, yet possessing Ibero-American outreach and esteemed reputation. The sample size, denoted as N=15, wa...

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Detalles Bibliográficos
Autores: Lopezosa, Carlos, Guallar, Javier, Franch, Pere
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::b8814b2eb1e0d84e4f865b69b4a9457a
Acceso en línea:https://doi.org/10.34810/DATA1065
Access Level:acceso abierto
Palabra clave:Social Sciences
Newsletters
content curation
email
editors
interviews
id ES_df5f5c0eb55838df5b355bfba8d95fe5
oai_identifier_str oai:dnet:cora.rdr____::b8814b2eb1e0d84e4f865b69b4a9457a
network_acronym_str ES
network_name_str España
repository_id_str
spelling Data based on independent newsletters and content curation: The editors' viewLopezosa, CarlosGuallar, JavierFranch, PereSocial SciencesNewsletterscontent curationemaileditorsinterviewsThis dataset includes 15 semi-structured interviews were conducted between 2022 and 2023 with editors of independent newsletters, specifically those lacking affiliation with mainstream media outlets, yet possessing Ibero-American outreach and esteemed reputation. The sample size, denoted as N=15, was delimited by our temporal framework spanning one year (the latter half of 2022 and the initial half of 2023). Employing the criterion question method, experts were selected based on various criteria including the pertinence of their information, their accessibility both physically and socially, their willingness to furnish information, and their proficiency in communicating it accurately. The coding and subsequent analysis of the interview data were facilitated through the utilization of Atlas.ti.CORA.Repositori de Dades de RecercaBajaña Cedeño, Diana2024info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA1065reponame:CORA.Repositori de Dades de Recercainstname:Consorci de Serveis Universitaris de Catalunya (CSUC)Inglésinfo:eu-repo/semantics/openAccessCC BY 4.0oai:dnet:cora.rdr____::b8814b2eb1e0d84e4f865b69b4a9457a2026-06-17T12:20:17Z
dc.title.none.fl_str_mv Data based on independent newsletters and content curation: The editors' view
title Data based on independent newsletters and content curation: The editors' view
spellingShingle Data based on independent newsletters and content curation: The editors' view
Lopezosa, Carlos
Social Sciences
Newsletters
content curation
email
editors
interviews
title_short Data based on independent newsletters and content curation: The editors' view
title_full Data based on independent newsletters and content curation: The editors' view
title_fullStr Data based on independent newsletters and content curation: The editors' view
title_full_unstemmed Data based on independent newsletters and content curation: The editors' view
title_sort Data based on independent newsletters and content curation: The editors' view
dc.creator.none.fl_str_mv Lopezosa, Carlos
Guallar, Javier
Franch, Pere
author Lopezosa, Carlos
author_facet Lopezosa, Carlos
Guallar, Javier
Franch, Pere
author_role author
author2 Guallar, Javier
Franch, Pere
author2_role author
author
dc.contributor.none.fl_str_mv Bajaña Cedeño, Diana
dc.subject.none.fl_str_mv Social Sciences
Newsletters
content curation
email
editors
interviews
topic Social Sciences
Newsletters
content curation
email
editors
interviews
description This dataset includes 15 semi-structured interviews were conducted between 2022 and 2023 with editors of independent newsletters, specifically those lacking affiliation with mainstream media outlets, yet possessing Ibero-American outreach and esteemed reputation. The sample size, denoted as N=15, was delimited by our temporal framework spanning one year (the latter half of 2022 and the initial half of 2023). Employing the criterion question method, experts were selected based on various criteria including the pertinence of their information, their accessibility both physically and socially, their willingness to furnish information, and their proficiency in communicating it accurately. The coding and subsequent analysis of the interview data were facilitated through the utilization of Atlas.ti.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA1065
url https://doi.org/10.34810/DATA1065
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC BY 4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC BY 4.0
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:CORA.Repositori de Dades de Recerca
instname:Consorci de Serveis Universitaris de Catalunya (CSUC)
instname_str Consorci de Serveis Universitaris de Catalunya (CSUC)
reponame_str CORA.Repositori de Dades de Recerca
collection CORA.Repositori de Dades de Recerca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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