Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter

Detalhes bibliográficos
Autor(a) principal: Prado, Jan Alyne Barbosa
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Bakhtiniana
Texto Completo: https://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554
Resumo: The goal of this paper is to improve heuristics for hard news discourse by proposing a cognitive model of abstraction, regarding social media contexts. To this end, hard news is discussed as a genre, structure and metalanguage, under the formal definition of a semiotic mode. Annotation is a successful technology to control the effects of genre operations, reveal relations, and to inquire about data and documents. It proceeds to characterize Twitter’s interface, in terms of formal and material regularities, employed recursively. It further demonstrates the formalization of a semantics for hard news discourse in the so-called logical forms, which has been adapted from analytical tools developed by the Segmented Theory of Discourse Representation (SDRT) in order to examine coherence in different levels of detail. Finally, the implication of this approach as a discipline is discussed, regarding the production of transversal knowledge aiming at digital literacy, which urges in present times. [1]   [1] The paper results from postdoctoral research conducted at Bremen Universität (2018-2019), Germany, under the supervision of Prof. Ph.D. John Arnold Bateman. The article was carried out with support from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Funding Code (001).  
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spelling Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter Abordagem formal e multimodal da notícia como gênero, estrutura e metalinguagem em contextos de mídia social e digital. O exemplo do TwitterMultimodal discourse semanticsSDRTAnnotationDigital methodsHard newsSemântica do discurso multimodalSDRTAnotaçãoMétodos digitaisNotíciaThe goal of this paper is to improve heuristics for hard news discourse by proposing a cognitive model of abstraction, regarding social media contexts. To this end, hard news is discussed as a genre, structure and metalanguage, under the formal definition of a semiotic mode. Annotation is a successful technology to control the effects of genre operations, reveal relations, and to inquire about data and documents. It proceeds to characterize Twitter’s interface, in terms of formal and material regularities, employed recursively. It further demonstrates the formalization of a semantics for hard news discourse in the so-called logical forms, which has been adapted from analytical tools developed by the Segmented Theory of Discourse Representation (SDRT) in order to examine coherence in different levels of detail. Finally, the implication of this approach as a discipline is discussed, regarding the production of transversal knowledge aiming at digital literacy, which urges in present times. [1]   [1] The paper results from postdoctoral research conducted at Bremen Universität (2018-2019), Germany, under the supervision of Prof. Ph.D. John Arnold Bateman. The article was carried out with support from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Funding Code (001).  O objetivo do artigo é aperfeiçoar heurísticas para o discurso das notícias por meio do desenvolvimento de um modelo cognitivo de abstração, em contextos de mídia social. Para tal, discute-se a notícia como gênero, estrutura e metalinguagem, partindo da noção formal de modo semiótico. A anotação sob essa visada é uma tecnologia bem-sucedida para controlar os efeitos das restrições de gênero, revelar relações e inquirir sobre dados e documentos. Procede-se à anotação da notícia na interface do Twitter, caracterizada em termos de suas regularidades formais e materiais empregadas recursivamente. Demonstra-se a formalização de uma semântica para o discurso da notícia nas chamadas formas lógicas, adaptada de ferramentas desenvolvidas pela Segmented Discourse Representation Theory (SDRT), a fim de construir novas hipóteses sobre coerência em diferentes níveis de detalhe. Por fim, discute-se a implicação desta abordagem como disciplina na produção de conhecimento transversal com vistas à literacia digital, em tempos urgentes[1].   [1] O artigo é resultado de uma pesquisa de pós-doutorado realizado na Bremen Universität (2018-2019), Alemanha, sob a supervisão do Prof. Dr. John Arnold Bateman.Pontifícia Universidade Católica de São Paulo2022-10-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554Bakhtiniana. Revista de Estudos do Discurso ; Vol. 17 No. 4 (2022); Port. 163-193 / Eng. 171-199Bakhtiniana. Revista de Estudos do Discurso; Vol. 17 Núm. 4 (2022); Port. 163-193 / Eng. 171-199Bakhtiniana. Revista de Estudos do Discurso; Vol. 17 No. 4 (2022); Port. 163-193 / Eng. 171-199Bakhtiniana. Revista de Estudos do Discurso; v. 17 n. 4 (2022); Port. 163-193 / Eng. 171-199Бахтиниана: Журнал дискурсивных исследований; Том 17 № 4 (2022); Port. 163-193 / Eng. 171-1992176-4573reponame:Bakhtinianainstname:Pontifícia Universidade Católica de São Paulo (PUC-SP)instacron:PUC_SPporenghttps://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554/40755https://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554/40756Copyright (c) 2022 Bakhtiniana. Revista de Estudos do Discursohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPrado, Jan Alyne Barbosa2022-10-28T12:34:51Zoai:ojs.pkp.sfu.ca:article/57554Revistahttps://revistas.pucsp.br/index.php/bakhtiniana/indexPRIhttps://old.scielo.br/oai/scielo-oai.php||bakhtinianarevista@gmail.com2176-45732176-4573opendoar:2022-10-28T12:34:51Bakhtiniana - Pontifícia Universidade Católica de São Paulo (PUC-SP)false
dc.title.none.fl_str_mv Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
Abordagem formal e multimodal da notícia como gênero, estrutura e metalinguagem em contextos de mídia social e digital. O exemplo do Twitter
title Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
spellingShingle Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
Prado, Jan Alyne Barbosa
Multimodal discourse semantics
SDRT
Annotation
Digital methods
Hard news
Semântica do discurso multimodal
SDRT
Anotação
Métodos digitais
Notícia
title_short Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
title_full Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
title_fullStr Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
title_full_unstemmed Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
title_sort Formal and Multimodal Approach to Hard News as Genre, Structure and Metalanguage in Social and Digital Media Contexts. The Example of Twitter
author Prado, Jan Alyne Barbosa
author_facet Prado, Jan Alyne Barbosa
author_role author
dc.contributor.author.fl_str_mv Prado, Jan Alyne Barbosa
dc.subject.por.fl_str_mv Multimodal discourse semantics
SDRT
Annotation
Digital methods
Hard news
Semântica do discurso multimodal
SDRT
Anotação
Métodos digitais
Notícia
topic Multimodal discourse semantics
SDRT
Annotation
Digital methods
Hard news
Semântica do discurso multimodal
SDRT
Anotação
Métodos digitais
Notícia
description The goal of this paper is to improve heuristics for hard news discourse by proposing a cognitive model of abstraction, regarding social media contexts. To this end, hard news is discussed as a genre, structure and metalanguage, under the formal definition of a semiotic mode. Annotation is a successful technology to control the effects of genre operations, reveal relations, and to inquire about data and documents. It proceeds to characterize Twitter’s interface, in terms of formal and material regularities, employed recursively. It further demonstrates the formalization of a semantics for hard news discourse in the so-called logical forms, which has been adapted from analytical tools developed by the Segmented Theory of Discourse Representation (SDRT) in order to examine coherence in different levels of detail. Finally, the implication of this approach as a discipline is discussed, regarding the production of transversal knowledge aiming at digital literacy, which urges in present times. [1]   [1] The paper results from postdoctoral research conducted at Bremen Universität (2018-2019), Germany, under the supervision of Prof. Ph.D. John Arnold Bateman. The article was carried out with support from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Funding Code (001).  
publishDate 2022
dc.date.none.fl_str_mv 2022-10-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554
url https://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554/40755
https://revistas.pucsp.br/index.php/bakhtiniana/article/view/57554/40756
dc.rights.driver.fl_str_mv Copyright (c) 2022 Bakhtiniana. Revista de Estudos do Discurso
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Bakhtiniana. Revista de Estudos do Discurso
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pontifícia Universidade Católica de São Paulo
publisher.none.fl_str_mv Pontifícia Universidade Católica de São Paulo
dc.source.none.fl_str_mv Bakhtiniana. Revista de Estudos do Discurso ; Vol. 17 No. 4 (2022); Port. 163-193 / Eng. 171-199
Bakhtiniana. Revista de Estudos do Discurso; Vol. 17 Núm. 4 (2022); Port. 163-193 / Eng. 171-199
Bakhtiniana. Revista de Estudos do Discurso; Vol. 17 No. 4 (2022); Port. 163-193 / Eng. 171-199
Bakhtiniana. Revista de Estudos do Discurso; v. 17 n. 4 (2022); Port. 163-193 / Eng. 171-199
Бахтиниана: Журнал дискурсивных исследований; Том 17 № 4 (2022); Port. 163-193 / Eng. 171-199
2176-4573
reponame:Bakhtiniana
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instacron:PUC_SP
instname_str Pontifícia Universidade Católica de São Paulo (PUC-SP)
instacron_str PUC_SP
institution PUC_SP
reponame_str Bakhtiniana
collection Bakhtiniana
repository.name.fl_str_mv Bakhtiniana - Pontifícia Universidade Católica de São Paulo (PUC-SP)
repository.mail.fl_str_mv ||bakhtinianarevista@gmail.com
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