Título: | IMPLICATIONS OF SEO AND AUDIENCE METRICS FOR PRODUCTIVE ROUTINES IN JOURNALISM | ||||||||||||
Autor: |
GREYCE ELLEN VARGAS NUNES |
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Colaborador(es): |
PATRICIA MAURICIO CARVALHO - Orientador |
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Catalogação: | 06/JUN/2023 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=62787&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=62787&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.62787 | ||||||||||||
Resumo: | |||||||||||||
This study deals with how audience metrics associated with SEO practices
impact production routines in journalism. In the context of plataformization,
journalism is increasingly dependent on metrics and rules that are defined,
structured, monitored, and checked by large data processing and technology
companies. Thus, this research sought to understand the concepts of metric and
audience in digital journalism to explain the processes imposed on production
routines so that news can be means of promoting audience growth results.
Additionally, on SEO, the concept and practices were worked on so that content
ranking rules could be analyzed along with the consequences these rules impose on
production routines in journalism. This thesis has Political Economy of
Communication as a research subfield and, therefore, we examine the social
relations that make up journalistic practices related to audience metrics in the
context of capitalism. The main theoretical references of this research are MARX
(1983, 2013), BOLANO (2000, 2002, 2004, 2014), DUFFY (2020), GILLESPIE
(2018), HEINRICH (2011), MEIJER (2019, 2021), PETRE (2015, 2021),
TANDOC JR. (2014, 2017, 2019), and ZUBOFF (2020). For analysis, 68
exploratory interviews were conducted, followed by six in-depth interviews. As
conclusive indications, this thesis advocates for the regulation of the data industry
on news market operations and also proposes the discussion of Google s algorithm
ethics.
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