The many ways to Transparency

This article explores a sample of the literature on transparency in the 1984-2020 period through a systematic review. The sample consists of 242 works (articles, books, and book chapters) collected from different academic databases. Latent dirichlet allocation (LDA) probabilistic topic modelling –...

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Main Author: Roberto Cruz Romero
Format: Article
Language:English
Published: Asociación Española de Acreditación de la Transparencia 2023-12-01
Series:Revista Española de la Transparencia
Subjects:
Online Access:https://revistatransparencia.com/ojs/index.php/ret/article/view/286
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author Roberto Cruz Romero
author_facet Roberto Cruz Romero
author_sort Roberto Cruz Romero
collection DOAJ
description This article explores a sample of the literature on transparency in the 1984-2020 period through a systematic review. The sample consists of 242 works (articles, books, and book chapters) collected from different academic databases. Latent dirichlet allocation (LDA) probabilistic topic modelling – an unsupervised machine learning approach – is employed in order to classify and construct a typology of topics within the literature. This approach is complemented by a structured overview of the varieties of transparency framework and is aimed at addressing three research questions: a) What analytical approaches are identified in the literature? b) How is transparency conceptualised through such analytical approaches? And, c) where has transparency’s focus been placed in relation to an event-process framework? The findings show unequal methodological approaches, topics, and issues investigated. These insights and the novel approach utilised outline key challenges and opportunities for future transparency research.
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spelling doaj.art-436cb80f1ca94f2c86e657baa74b43342023-12-15T08:51:29ZengAsociación Española de Acreditación de la TransparenciaRevista Española de la Transparencia2444-26072023-12-011810.51915/ret.286The many ways to TransparencyRoberto Cruz Romero This article explores a sample of the literature on transparency in the 1984-2020 period through a systematic review. The sample consists of 242 works (articles, books, and book chapters) collected from different academic databases. Latent dirichlet allocation (LDA) probabilistic topic modelling – an unsupervised machine learning approach – is employed in order to classify and construct a typology of topics within the literature. This approach is complemented by a structured overview of the varieties of transparency framework and is aimed at addressing three research questions: a) What analytical approaches are identified in the literature? b) How is transparency conceptualised through such analytical approaches? And, c) where has transparency’s focus been placed in relation to an event-process framework? The findings show unequal methodological approaches, topics, and issues investigated. These insights and the novel approach utilised outline key challenges and opportunities for future transparency research. https://revistatransparencia.com/ojs/index.php/ret/article/view/286transparencyaccountabilitypublic administrationgovernancesystematic review
spellingShingle Roberto Cruz Romero
The many ways to Transparency
Revista Española de la Transparencia
transparency
accountability
public administration
governance
systematic review
title The many ways to Transparency
title_full The many ways to Transparency
title_fullStr The many ways to Transparency
title_full_unstemmed The many ways to Transparency
title_short The many ways to Transparency
title_sort many ways to transparency
topic transparency
accountability
public administration
governance
systematic review
url https://revistatransparencia.com/ojs/index.php/ret/article/view/286
work_keys_str_mv AT robertocruzromero themanywaystotransparency
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