Bibliometric Analysis on the Role of Artificial Intelligence in Hate Speech and Policy Formulation

Abstract

This paper involved a bibliometric analysis of academic research articles on the subject of Artificial Intelligence dealing with policy making in the Web of Science core collection of databases. The study included articles, reviews, and proceedings papers, published in English, before 17 August 2020. To normalize the potential fault estimate, the number of authors per year was divided by the total number of authors in a year knowing that a single article can have multiple authors. Nevertheless, for the total number of papers, only unique paper IDs were counted. Articles not tagged under “Policy”, or a synonymous topic as defined by Web of Science, were excluded because although employing AI, Gaming, i.e., agent-based models are widely prevalent in the study of policy formulation (Reza Saeidnia et al., 2024). The analytic method used is natural language processing and it includes categories exploring AI policy formulation, AI technology utilization in policy making, and AI social implication analysis (Prieto-Gutierrez et al., 2023).