A Bibliometric and Topic Modeling Review of Data-Driven Culture: Does the Academic Discourse Match the Public Discourse?

Jéssica Alves Justo Mendes (), Paulo Perazolli (), Guilherme Moreira (), Raquel Mello () and Mateus Cecilio Gerolamo ()
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Jéssica Alves Justo Mendes: University of São Paulo
Paulo Perazolli: University of São Paulo
Guilherme Moreira: University of São Paulo
Raquel Mello: Mackenzie Presbyterian University
Mateus Cecilio Gerolamo: University of São Paulo

A chapter in Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, 2026, pp 461-469 from Springer

Abstract: Abstract This study investigates academic and public discourses on “data-driven culture” using Latent Dirichlet Allocation (LDA). While prior research primarily focuses on academic insights, this paper maps public discourse and performs a brief bibliometric analysis to show key scientific articles. We found significant overlap and distinct differences between the discourses: academia explores theoretical foundations and strategic integration, while public discourse emphasizes practical applicability and human factors. Our results can benefit practitioners and academics by aligning scientific approaches with practical applications, broadening understanding, identifying gaps, and highlighting the study’s role in connecting theoretical and practical contexts.

Keywords: Data-driven culture; Topic modeling; Public and academic discourse (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-23282-3_55

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DOI: 10.1007/978-3-032-23282-3_55

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