Research Article

Research on the Impact of Generative Artificial Intelligence on the Guidance of News Public Opinion

Jiayun ZhangShanghai Normal University*

* Corresponding author: [email protected]

Abstract

With the high-speed development of Generative Artificial Intelligence (AIGC), Generative Artificial Intelligence has changed the trend of news public opinion and the information dissemination environment. This paper explores the application of AIGC in journalism, and finds that it improves the efficiency of news production while causing public opinion security issues, public opinion ethics and public opinion law issues. Through literature research and typical case analysis, the study analyzes the status of AIGC in news reports and its influence on public opinion, and concludes that AIGC has advantages in information production and transmission speed, with outstanding personalized recommendation performance, and also has risks such as misinformation and manipulation of public opinion. Young people can be confused when faced with such information, and the content of dehumanized processing also makes the public opinion reception gradually change, resulting in the gradual disintegration of social consensus. Policymakers, industry leaders and educators need to take active countermeasures, relevant departments need to build effective regulatory systems, and the governance structure needs to be constantly improved. College students are the group that should be cared for, strengthening media literacy education, improving information judgment ability is a necessary way for college students to adapt to the new information environment. The study on the influence of AIGC on the guidance of news public opinion, new ideas, lay a theoretical foundation for the construction of ethical and legal system in the future, and have both academic significance and reference value.

Keywords: Generative Artificial Intelligence (AIGC); Guidance of News Public Opinion; Information Dissemination; Media Literacy
Published: January 26, 2026
DOI: 10.54254/2753-7064/2026.HT31514
Volume: CHR Vol.102
pp. 89-97
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