Exploring the Multifaceted Nature of Generative AI in Journalism Studies: A Typology of Scholarly Definitions

11 Pages Posted: 2 Jun 2023

See all articles by Gregory Gondwe

Gregory Gondwe

California State San Bernardino

Date Written: May 31, 2023

Abstract

This study explores the multifaceted nature of generative AI in journalism through a typology of scholarly definitions. Generative AI refers to the use of artificial intelligence techniques in creating, producing, and generating content, insights, and data in the field of journalism. By analyzing the diverse perspectives within the existing literature, this study aims to provide a comprehensive understanding of how generative AI is conceptualized and applied in journalism. The typology reveals four key dimensions: content generation, data analysis and insights, newsroom automation, and audience engagement. Through categorizing and examining these typologies, the study delves into the specific applications, implications, and impacts of generative AI in journalism. The findings contribute to the ongoing discourse on generative AI, offering valuable insights for researchers, practitioners, and policymakers seeking to leverage AI's potential while upholding the principles of journalism in an evolving media landscape.

Keywords: Generative AI, Journalism, NLP, expert systems, speech-to-text, machine learning, PSO, vision, robotics

Suggested Citation

Gondwe, Gregory, Exploring the Multifaceted Nature of Generative AI in Journalism Studies: A Typology of Scholarly Definitions (May 31, 2023). Available at SSRN: https://ssrn.com/abstract=4465446 or http://dx.doi.org/10.2139/ssrn.4465446

Gregory Gondwe (Contact Author)

California State San Bernardino ( email )

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