Editorial: Generative Artificial Intelligence, Large Language Models (LLMs), and Augmented Analytics vs. Big Data and Data Science

DEBATE: Beyond Big Data: Generative AI and LLMs as New Digital Technologies for the Analysis of Social Reality

Authors

DOI:

https://doi.org/10.54790/rccs.150

Keywords:

inteligencia artificial, inteligencia de negocios, ciencia de datos, macrodatos, modelos grandes de lenguaje, inteligencia generativa, analítica aumentada, Web of Science, mapas de conocimiento, publicaciones científicas, ciencias sociales

Abstract

This article comparatively examines the evolution of fields and technologies such as artificial intelligence (AI), business intelligence (BI), data science (DS), big data (BD), large language models (LLMs), generative intelligence, and augmented analytics. Based on the “most cited” and “hot papers” in Web of Science (WoS), it analyzes co-occurrence networks of cited terms, visualizing a knowledge map that highlights key concepts and their connections. Over the past five years, there has been a relative decline in scientific publications on BI, BD, and DS, contrasted with the growing focus on LLMs —such as ChatGPT—generative artificial intelligence, and augmented analytics. This shift marks a significant transformation and opens up a range of opportunities and impacts for social sciences, as detailed in the articles included in the Debate section of Revista CENTRA de Ciencias Sociales.

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Author Biography

Estrella Gualda Caballero, Universidad de Huelva

Catedrática de Sociología en la Universidad de Huelva, académica de número de la «Academia Iberoamericana de La Rábida» y directora del grupo de investigación «Estudios Sociales e Intervención Social» (ESEIS). En los últimos años ha prestado gran atención a la sociología computacional, ciencia de datos, big data, análisis de redes sociales, así como a cuestiones tales a las teorías de la conspiración, los discursos de odio en línea y la desinformación en relación con la COVID-19, y las personas inmigrantes, refugiadas y LGTBIQ+, encontrándose sus trabajos en revistas y editoriales de gran prestigio tales a Nature Communication, Nature Human Behaviour, Nature Scientific Data, IEEE Access, Array, Frontiers in Psychology, PNAS Nexus, Political Psychology, The American Sociologist, REIS, Empiria, Gazeta de Antropología, Redes, Springer, Routledge, Dykinson, entre otras.

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Published

2026-01-09

How to Cite

Gualda Caballero, E. (2026). Editorial: Generative Artificial Intelligence, Large Language Models (LLMs), and Augmented Analytics vs. Big Data and Data Science: DEBATE: Beyond Big Data: Generative AI and LLMs as New Digital Technologies for the Analysis of Social Reality. CENTRA Journal of Social Sciences, 5(1), 157–172. https://doi.org/10.54790/rccs.150

Issue

Vol. 5 Nm. 1 (January-June, 2026)

Section

Discussion

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