Transforming Narratives and Engagement of AI and its Related Technology in Different Domains of Journalism - A Bibliometric Analysis

Abstract

Introduction: This research paper explores the profound impact of Artificial Intelligence (AI) on the print media landscape, highlighting its transformative effects on narrative construction and audience engagement. As AI technologies advance, Indian media organizations are actively integrating these innovations to enhance content creation and audience interaction.
Objectives: Citation analysis employs a full counting method, while timeline and burst detection analyses uncover significant topic trends and recent citations.
Methods: The paper conducts an extensive bibliometric analysis of AI utilization in media research, drawing from publications in the Scopus database over the years. The analysis encompasses yearly publications, types of publications, and trends across various domains, including content creation and audience engagement.
Results: The research highlights bibliometric findings related to authors, organizations, publication types, and documents with the strongest collaborative linkages within the context of AI in Indian media.
Conclusions: The paper provides valuable insights into how AI is reshaping the print media sector in India, emphasizing the key trends and collaborative efforts driving this transformation.