Social Sciences and Humanities on Big Data: a Bibliometric Analysis

Autores/as

  • Gastón Becerra CONICET/ Universidad de Buenos Aires Santiago del Estero 1029 (Sede Constitución) (C1075AAU) Ciudad de Buenos Aires, Argentina. Teléfono: +54 (11) 4305-6087/6168 http://orcid.org/0000-0001-9432-8848
  • Cristian Ratovicius Universidad Abierta Interamericana Av. Montes de Oca 745 (C1270AAH), Ciudad Autónoma de Buenos Aires, Argentina. Teléfonos. (+5411) 4301-5323 / 4301-5240 / 4301-5248 cratovicius@yahoo.com http://orcid.org/0000-0003-0420-8936

DOI:

https://doi.org/10.4301/S1807-1775202219011

Palabras clave:

Big data, social sciences, humanities, bibliometric analysis, citation analysis

Resumen

Purpose: The purpose of this paper is to provide a comprehensive bibliometric review of social science, psychology, and humanities literature focusing on big data. Methods: Production and authorship trends, topics and areas as well as citations were analyzed by means of conducting a bibliometric analysis of a corpus of 5,500 Scopus articles published from 2010 to 2020. Findings: Analysis revealed similarities and differences among social science, psychology, and humanities literature in terms of publication, framing, and referencing trends as compared with the general big data literature: both fields show a steady increase, although the increase rate slowed down as from 2015; text production of both specific and general fields is led by just a few countries, with the USA and China being on top of the ranking; single authorship has been decreasing in both fields; the specificity of big data framing, in social sciences and humanities, has been identified with a critical view that surpass the ethical considerations, to include the social construction of datasets, the political and ideological uses of big data, and the discussion of its philosophical and epistemological foundations. Value: To the best of our knowledge, this is the first study to provide a comprehensive view on social sciences and humanities big data bibliometrics while providing context to compare results.

Biografía del autor/a

Gastón Becerra, CONICET/ Universidad de Buenos Aires Santiago del Estero 1029 (Sede Constitución) (C1075AAU) Ciudad de Buenos Aires, Argentina. Teléfono: +54 (11) 4305-6087/6168

Gastón Becerra es Lic. en Sociología (UBA). Prof. de sociología (UBA). Magister en epistemología e historia de la ciencia (UNTREF). Doctor en Filosofía (UBA). Investigador asistente CONICET. Director de la carrera de Sociología en la Universidad de Flores (UFLO). Docente de grado y posgrado en diversas universidades nacionales y privadas. Áreas de investigación: sistemas sociales, epistemología y metodología de las ciencias sociales, complejidad, big data, inteligencia artificial.

Cristian Ratovicius, Universidad Abierta Interamericana Av. Montes de Oca 745 (C1270AAH), Ciudad Autónoma de Buenos Aires, Argentina. Teléfonos. (+5411) 4301-5323 / 4301-5240 / 4301-5248 cratovicius@yahoo.com

Cristian Ratovicius es Ingeniero en Sistemas (UAI) y Profesor en disciplinas industriales (UTN). Se encuentra realizando una Maestría en Sistemas (UAI). Es docente de grado y posgrado en universidades nacionales y privadas. Áreas de interés: sistemas, programación y desarrollo, inteligencia artificial.

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2022-03-01

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Becerra, G., & Ratovicius, C. (2022). Social Sciences and Humanities on Big Data: a Bibliometric Analysis. JISTEM Journal of Information Systems and Technology Management, 19. https://doi.org/10.4301/S1807-1775202219011

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Vol. 19 (2022)

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