Algorithmic Science News: support platform for science journalism

Detalhes bibliográficos
Autor(a) principal: Silva, Joana
Data de Publicação: 2019
Outros Autores: Fernandes, Maria, Pasquali, Arian, Loureiro, António, Silva, Filipa, Candeias, Pedro, Lima, Helena, Reis, Ana Isabel, Giesteira, Bruno, Jorge, Alípio, Nunes, Sérgio
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/151375
Resumo: The Algorithmic Science News (ASN) platform is a new tool created by a multidisciplinary team that emerged from the need to reinscribe the role of science news in today's media space. The platform aims not only to increase the number of scientific news available to publishers, but also to reduce the effort associated with more time-consuming tasks such as collecting data and analyzing scientific articles and thereby facilitating the entire news production process. The ASN platform includes a set of features designed to support the journalist's standard procedure in writing contexts, allowing the use of documents in open access scientific repositories. The development of algorithms working on these repositories followed the purpose of facilitating the access and exploration of these collections and allowing the media to use them as an information source. In this project we developed tools of reading and interpretation, writing and semantic suggestion. With regard to reading and interpretation, ASN helps on finding specialists related to the scientific article, summarizes the most determinant parts, namely the introduction, objectives, methodologies and results, present definitions of technical terms, and suggest projects related to the topic. With regard to the writing part, the platform allows to write notes related to parts of the article and have access to phrases suggestions. The use of a beta version of this platform in writing contexts will allow the realization of the extent to which the automation of tasks associated with journalistic production can help the media in transition to digital, as well as to contribute to a greater efficiency in the tasks associated with science journalism, allowing a greater massification and quality in the production of scientific news in the current media landscape.
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spelling Algorithmic Science News: support platform for science journalismCiências da comunicaçãoCommunication sciencesThe Algorithmic Science News (ASN) platform is a new tool created by a multidisciplinary team that emerged from the need to reinscribe the role of science news in today's media space. The platform aims not only to increase the number of scientific news available to publishers, but also to reduce the effort associated with more time-consuming tasks such as collecting data and analyzing scientific articles and thereby facilitating the entire news production process. The ASN platform includes a set of features designed to support the journalist's standard procedure in writing contexts, allowing the use of documents in open access scientific repositories. The development of algorithms working on these repositories followed the purpose of facilitating the access and exploration of these collections and allowing the media to use them as an information source. In this project we developed tools of reading and interpretation, writing and semantic suggestion. With regard to reading and interpretation, ASN helps on finding specialists related to the scientific article, summarizes the most determinant parts, namely the introduction, objectives, methodologies and results, present definitions of technical terms, and suggest projects related to the topic. With regard to the writing part, the platform allows to write notes related to parts of the article and have access to phrases suggestions. The use of a beta version of this platform in writing contexts will allow the realization of the extent to which the automation of tasks associated with journalistic production can help the media in transition to digital, as well as to contribute to a greater efficiency in the tasks associated with science journalism, allowing a greater massification and quality in the production of scientific news in the current media landscape.20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/151375engSilva, JoanaFernandes, MariaPasquali, ArianLoureiro, AntónioSilva, FilipaCandeias, PedroLima, HelenaReis, Ana IsabelGiesteira, BrunoJorge, AlípioNunes, Sérgioinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:29:14Zoai:repositorio-aberto.up.pt:10216/151375Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:41:28.367607Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Algorithmic Science News: support platform for science journalism
title Algorithmic Science News: support platform for science journalism
spellingShingle Algorithmic Science News: support platform for science journalism
Silva, Joana
Ciências da comunicação
Communication sciences
title_short Algorithmic Science News: support platform for science journalism
title_full Algorithmic Science News: support platform for science journalism
title_fullStr Algorithmic Science News: support platform for science journalism
title_full_unstemmed Algorithmic Science News: support platform for science journalism
title_sort Algorithmic Science News: support platform for science journalism
author Silva, Joana
author_facet Silva, Joana
Fernandes, Maria
Pasquali, Arian
Loureiro, António
Silva, Filipa
Candeias, Pedro
Lima, Helena
Reis, Ana Isabel
Giesteira, Bruno
Jorge, Alípio
Nunes, Sérgio
author_role author
author2 Fernandes, Maria
Pasquali, Arian
Loureiro, António
Silva, Filipa
Candeias, Pedro
Lima, Helena
Reis, Ana Isabel
Giesteira, Bruno
Jorge, Alípio
Nunes, Sérgio
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Joana
Fernandes, Maria
Pasquali, Arian
Loureiro, António
Silva, Filipa
Candeias, Pedro
Lima, Helena
Reis, Ana Isabel
Giesteira, Bruno
Jorge, Alípio
Nunes, Sérgio
dc.subject.por.fl_str_mv Ciências da comunicação
Communication sciences
topic Ciências da comunicação
Communication sciences
description The Algorithmic Science News (ASN) platform is a new tool created by a multidisciplinary team that emerged from the need to reinscribe the role of science news in today's media space. The platform aims not only to increase the number of scientific news available to publishers, but also to reduce the effort associated with more time-consuming tasks such as collecting data and analyzing scientific articles and thereby facilitating the entire news production process. The ASN platform includes a set of features designed to support the journalist's standard procedure in writing contexts, allowing the use of documents in open access scientific repositories. The development of algorithms working on these repositories followed the purpose of facilitating the access and exploration of these collections and allowing the media to use them as an information source. In this project we developed tools of reading and interpretation, writing and semantic suggestion. With regard to reading and interpretation, ASN helps on finding specialists related to the scientific article, summarizes the most determinant parts, namely the introduction, objectives, methodologies and results, present definitions of technical terms, and suggest projects related to the topic. With regard to the writing part, the platform allows to write notes related to parts of the article and have access to phrases suggestions. The use of a beta version of this platform in writing contexts will allow the realization of the extent to which the automation of tasks associated with journalistic production can help the media in transition to digital, as well as to contribute to a greater efficiency in the tasks associated with science journalism, allowing a greater massification and quality in the production of scientific news in the current media landscape.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
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