Research on the Toolization Path of Generative Artificial Intelligence in the Field of News Communication: Industry Empowerment and Anxiety Management Using DeepSeek as an Example

Abstract

Generative AI is rapidly changing how news is created and shared. It boosts efficiency and sparks new content ideas, but also causes worry about technology and ethics. This study uses the Technology Acceptance Model (TAM) and distributed cognition theory, with examples like DeepSeek, to explore how generative AI is used in journalism and its effects. Through a survey (181 responses) and interviews (59 people), the research found that news professionals value efficiency but often overlook the risks. Their anxiety primarily stems from the threat of job displacement, ambiguous ethical responsibilities, and the opacity of AI technology. The study suggests a collaborative approach to governance, including education, ethics, and professional development. It recommends training to change how people think, virtual simulations, and transparent AI design to help people and machines work together. This paper highlights the paradox of AI, where it can both empower and undermine, offering insights and solutions to balance technology with human values.

Keywords: Toolization Path, Generative Artificial Intelligence, News Communication

DOI: 10.7176/RHSS/15-5-02

Publication date: June 28^th 2025