Artificial Intelligence and Journalistic Practices in China: A Grounded Theory Analysis Based on Qualitative Interviews

Despite the fact that AI is profoundly changing journalism, improving efficiency and driving content innovation, the application of AI technology in China is limited by policy regulation, which raises issues of authenticity, ethics, and regulation and, in turn, drives the digital transformation of the journalism industry. This study employs a grounded theory research design, conducts in-depth interviews, and proposes an embedded model of AI journalism development (EAJM). The results indicate that AI enhances the efficiency of news production and enhances the growth of data journalism and personalized content recommendation. However, its content may be biased, which may affect the news neutrality and change the role of the journalists, and the Chinese government exercises strict control over AI news content, promotes the use of domestic AI tools and restricts the use of foreign AI technologies. In the future, the AI-generated news should be optimized in the “truthfulness, fairness, and compliance” directions, with efforts made to minimize algorithmic bias and explore human-computer collaboration models to ensure the accountability and credibility of journalism.

Authors

Institutions

Publication Details

Journal
Advances in Applied Sociology
Published
2025-01-01
DOI
https://doi.org/10.4236/aasoci.2025.155020
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Journalistic Practices in China: A Grounded Theory Analysis Based on Qualitative Interviews

Zixi Li
Advances in Applied Sociology
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence and Journalistic Practices in China: A Grounded Theory Analysis Based on Qualitative Interviews

Zixi Li
article en

Abstract

Despite the fact that AI is profoundly changing journalism, improving efficiency and driving content innovation, the application of AI technology in China is limited by policy regulation, which raises issues of authenticity, ethics, and regulation and, in turn, drives the digital transformation of the journalism industry. This study employs a grounded theory research design, conducts in-depth interviews, and proposes an embedded model of AI journalism development (EAJM). The results indicate that AI enhances the efficiency of news production and enhances the growth of data journalism and personalized content recommendation. However, its content may be biased, which may affect the news neutrality and change the role of the journalists, and the Chinese government exercises strict control over AI news content, promotes the use of domestic AI tools and restricts the use of foreign AI technologies. In the future, the AI-generated news should be optimized in the “truthfulness, fairness, and compliance” directions, with efforts made to minimize algorithmic bias and explore human-computer collaboration models to ensure the accountability and credibility of journalism.

Advances in Applied SociologyVol. 15(05)
The University of Sydney (AU)
Openalex Percentile: Top 93%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence and Journalistic Practices in China: A Grounded Theory Analysis Based on Qualitative Interviews — Zixi Li · Advances in Applied Sociology (2025) | TGRS Research Map | TGRS