Authors: Caterina Ambrosio, Ciro Clemente De Falco
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.
Keywords: AI, algorithm, bibliometric analysis, digital methods
DOI: https://doi.org/10.13131/unipi/6qqm-p654
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CATERINA AMBROSIO is a 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.
E-mail: caterina.ambrosio@unina.it.
CIRO CLEMENTE DE FALCO is a researcher in General Sociology at the Uni-versity of Naples “Federico II”. He is a member of the Fast Observatory (Future Algorithms Society Technologies).
E-mail: ciroclemente.defalco@unina.it