Studying algorithms in social sciences: a systematic review

Authors

  • Caterina Ambrosio
  • Ciro Clemente De Falco

DOI:

https://doi.org/10.13131/unipi/6qqm-p654

Keywords:

AI, algorithm, bibliometric analysis, digital methods

Abstract

In recent years, the discourse surrounding algorithms and artificial intelligence has been extensively addressed in the social sciences. The dimensions of algorithms discussed by social scientists are numerous, both in terms of themes and in the techniques and approaches used to study them, with the ANT perspective proving particularly valuable as a framework for interpreting the human-machine relationship. This work aims to provide a systematic review of these elements through a bibliometric examination and an in-depth analysis of articles published in 2024. Our objective is to address the gap in the existing literature and offer a comprehensive resource that will contribute to advancing future research in this interdisciplinary field.

Author Biographies

Caterina Ambrosio

PhD student in Social Sciences and Statistics at the Department of Social Sciences at the University of Naples “Federico II”. Her doctoral scholarship is part of the FOSSR project, with which she collaborates, promoted by CNR.

Ciro Clemente De Falco

Researcher in General Sociology at the Uni-versity of Naples “Federico II”. He is a member of the Fast Observatory (Future Algorithms Society Technologies).

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Published

2025-06-20

How to Cite

Ambrosio, C., & De Falco, C. C. (2025). Studying algorithms in social sciences: a systematic review. The Lab’s Quarterly, 1–26. https://doi.org/10.13131/unipi/6qqm-p654

Issue

Online First

Section

Article

License

Copyright (c) 2025 Caterina Ambrosio, Ciro Clemente De Falco

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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