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dc.contributor.author
Becerra, Gaston  
dc.contributor.author
Ratovicius, Cristian  
dc.date.available
2023-08-02T18:51:05Z  
dc.date.issued
2022-10  
dc.identifier.citation
Becerra, Gaston; Ratovicius, Cristian; Social sciences and humanities on big data: a bibliometric analysis; Universidade de Sao Paulo; Journal of Information Systems and Technology Management; 19; 10-2022; 1-17  
dc.identifier.issn
1807-1775  
dc.identifier.uri
http://hdl.handle.net/11336/206640  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Universidade de Sao Paulo  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
BIG DATA  
dc.subject
SOCIAL SCIENCES  
dc.subject
BIBLIOMETRIC ANALISYS  
dc.subject
CITATION ANALISYS  
dc.subject.classification
Sociología  
dc.subject.classification
Sociología  
dc.subject.classification
CIENCIAS SOCIALES  
dc.title
Social sciences and humanities on big data: a bibliometric analysis  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-08-02T17:58:42Z  
dc.journal.volume
19  
dc.journal.pagination
1-17  
dc.journal.pais
Brasil  
dc.journal.ciudad
Sao Paulo  
dc.description.fil
Fil: Becerra, Gaston. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentina  
dc.description.fil
Fil: Ratovicius, Cristian. Universidad Abierta Interamericana. Facultad de Tecnología Informatica. Departamento de Sistemas de Computación. Cent.de Altos Estudios En Tecnología Informatica; Argentina  
dc.journal.title
Journal of Information Systems and Technology Management  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tecsi.org/jistem/index.php/jistem/article/view/3194/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.scielo.br/j/jistm/a/CMF74vhzSLZCbQKZ6pVnN4r/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.4301/S1807-1775202219011