Knowledge graph analysis of artificial intelligence research topics in the field of Journalism and Communication in the past decade

Abstract

Over the past decade, the domain of journalism and communication has witnessed an exponential trajectory in the application research of artificial intelligence (AI) technology, encompassing a myriad of facets within the field and achieving notable advancements. The present study employs a bibliometric methodology to systematically review and synthesize the pertinent scholarly findings. Utilizing the China National Knowledge Infrastructure (CNKI) as the primary data repository, and leveraging the analytical capabilities of the CiteSpace bibliometric tool, this paper conducts a comprehensive visualization analysis of the foundational landscape, focal research areas, emergent trends, and key thematic constructs within the national AI research corpus pertaining to journalism and communication for the past ten years. The objective of this analysis is to furnish a valuable reference for scholars and practitioners engaged in the field of AI within the realm of journalism and communication.

Key words: Artificial intelligence technology; CiteSpace; Knowledge grah; Co-occurrence cluster analysis

DOI: 10.7176/NMMC/106-09

Data of Publication: July 30th 2024