The Good, The Bad, and The ChatGPT: a Bibliometric Analysis of its Dominance in Natural Language Processing

Abstract

AI (Artificial Intelligence) technologies have been progressing rapidly, and their applications are becoming more viable in diverse fields of life. One recent phenomenon is ChatGPT, which is based on advanced AI tools that have captured global public attention. The current study conducted a detailed literature review and bibliometric analysis to gain insight into the evolution, current trends, and future perspectives. The data is collected from the Scopus database from 2000 to 2023, covering social sciences, economics, business, and finance, and is also based on key technical and computer science literature that supports applications in these areas. Findings indicate that nearly 48% of articles were published within the last three years. Manghi is the core contributing author in the field, whereas Zhang et al. (2020) have received the highest global citations. The USA is the most cited country and has a prominent place in the country’s scientific production. However, Italy stands at the top in average article citations. Among the top ten sources, 90% of the topic-related, relevant literature is from conference proceedings. The University of Calgary, Canada, is a leading research institution. The study proposes deep reinforcement learning research streams, introductory programming development, and explores opportunities and challenges for the education system, as well as the preservation of educational integrity. It contributes to the knowledge economy discourse by examining ChatGPT as a generative AI innovation that transforms knowledge creation, dissemination, and decision-making processes across sectors.

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