Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Document type

Article

Version

Accepted version

Publication date

Publication license

cc-by-nc-nd (c) Elsevier, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/200323

What's on the horizon? A bibliometric analysis of personal data collection methods on social networks

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

In Digital Marketing, the capture of consumers' personal data from social networks is essential for better targeting of commercial actions. The methods for collecting this information are arousing growing interest among the scientific community. This paper offers a comprehensive review of the literature on the issue and its management. To this end, a bibliometric study of 866 publications on the Web of Science between 1997 and 2022 was conducted to identify the most relevant trends through analysis of the most significant articles, keywords, authors, institutions and countries. In addition, visualisation software (VOS) was used to illustrate the relationships established through bibliographic coupling, keyword co-occurrence, authors and co-citation. The results indicate that the USA and Australia are the countries that publish the most in this field, while Finland and Australia have the highest number of publications per capita. Finally, the progress of research is discussed and future research directions are suggested.

Citation

Citation

SÁEZ ORTUÑO, Laura, et al. What's on the horizon? A bibliometric analysis of personal data collection methods on social networks. Journal of Business Research. 2023. Vol. 158, num. 113702, pags. 1-12. ISSN 0148-2963. [consulted: 12 of August of 2026]. Available at: https://hdl.handle.net/2445/200323

Export metadata

JSON - METS

Share record