The Impact of Artificial Intelligence Technology on the Development of Journalism and Media

Abstract

Artificial intelligence technologies are increasingly permeating the operational fabric of the journalism and media industry, systematically restructuring the fundamental modalities of content production, distribution, and human-machine dynamics. By synthesizing recent research findings, this paper seeks to present a complex and multidimensional picture of this transformation. The study reveals that AI has evolved from an initial auxiliary tool into a collaborative partner exhibiting characteristics of a "quasi-subject," with its application in news production undergoing a progressive transition from commensalistic to mutually beneficial symbiotic relationships. At the distribution level, while algorithmic recommendation mechanisms enhance the efficiency of matching content with users, they also ignite deep-seated controversies concerning "filter bubbles" and privacy boundaries. A more profound transformation lies latent within human-machine relations-machines are gradually shifting from passive tools to "quasi-agents" with limited agency, prompting a re-evaluation of the professional identity and agency of practitioners. Concurrently, technological risks such as "AI hallucinations," algorithmic black boxes, and value biases have emerged, necessitating the construction of a multi-stakeholder governance framework to guide the restraint and transcendence of instrumental rationality by value rationality. This paper argues that AI's impact on journalism and media is not a unidirectional technological implantation, but rather a profound dialogue and adaptation involving production logic, power structures, and professional ethics. Its future trajectory will ultimately depend on whether humans and machines can achieve a new equilibrium through dynamic, symbiotic evolution.