Algorithmic co-authorship in chinese news production: three models of human-machine collaboration within the framework of pen lan's theory

Mansurova , Zukhra

Марказий Осиёда медиа ва коммуникациялар · 2026-yil

Annotatsiya

In modern journalism, where artificial intelligence is being integrated into the workflow, a concept is emerging that divides authorial responsibility between reporters and the algorithmic system at several levels of the editorial process. This transformation is particularly rapid in China, where state media and major tech corporations are using automated platforms on a scale unseen elsewhere. This article examines the structure of collaboration between algorithms and journalists in Chinese news production, drawing on a typology of three different co-authorship models proposed by Peng Lan, a professor at the School of Journalism at University of China. A three-level theory of human-machine relationships in intelligent news production—the instrumental level, the partnership level, and the mutually competitive level—forms the theoretical basis for the analysis. Co-authorship in Chinese journalism is not a homogeneous phenomenon, but rather a complex human-machine relationship shaped by the context, content type, and regulatory environment characteristic of the Chinese media system.

Maqola ma’lumotlari
MualliflarMansurova , Zukhra
JurnalМарказий Осиёда медиа ва коммуникациялар
NashriyotЎзЖОКУ
ISSN3030-3265, 3030-3354
Nashr sanasi2026-05-04
Son13
TilIngliz
Ilmiy sohaFilologiya
DOI10.62499/ijmcc.vi13.302
Indeksga qo‘shilgan2026-08-26

Kalit so‘zlar

соавторство, китайские медиа, искусственный интеллект, сотрудничество, hammualliflik; uch toifali nazariya, Xitoy ommaviy axborot vositalari, sun'iy intellekt, inson-mashina hamkorligi, co-authorship, three-level theory, artificial intelligence, human-machine collaboration

Ilmiy soha

Iqtibos keltirish

APAMansurova , Zukhra (2026). ALGORITHMIC CO-AUTHORSHIP IN CHINESE NEWS PRODUCTION: THREE MODELS OF HUMAN-MACHINE COLLABORATION WITHIN THE FRAMEWORK OF PEN LAN'S THEORY. Марказий Осиёда медиа ва коммуникациялар, (13). https://doi.org/10.62499/ijmcc.vi13.302
GOST (OAK)Mansurova , Zukhra ALGORITHMIC CO-AUTHORSHIP IN CHINESE NEWS PRODUCTION: THREE MODELS OF HUMAN-MACHINE COLLABORATION WITHIN THE FRAMEWORK OF PEN LAN'S THEORY // Марказий Осиёда медиа ва коммуникациялар. – 2026. – № 13. – DOI: 10.62499/ijmcc.vi13.302.
MLAMansurova , Zukhra. “ALGORITHMIC CO-AUTHORSHIP IN CHINESE NEWS PRODUCTION: THREE MODELS OF HUMAN-MACHINE COLLABORATION WITHIN THE FRAMEWORK OF PEN LAN'S THEORY.” Марказий Осиёда медиа ва коммуникациялар, (13), 2026. https://doi.org/10.62499/ijmcc.vi13.302
ChicagoMansurova , Zukhra. “ALGORITHMIC CO-AUTHORSHIP IN CHINESE NEWS PRODUCTION: THREE MODELS OF HUMAN-MACHINE COLLABORATION WITHIN THE FRAMEWORK OF PEN LAN'S THEORY.” Марказий Осиёда медиа ва коммуникациялар, (13) (2026). https://doi.org/10.62499/ijmcc.vi13.302
HarvardMansurova , Zukhra (2026) ‘ALGORITHMIC CO-AUTHORSHIP IN CHINESE NEWS PRODUCTION: THREE MODELS OF HUMAN-MACHINE COLLABORATION WITHIN THE FRAMEWORK OF PEN LAN'S THEORY’, Марказий Осиёда медиа ва коммуникациялар, (13). https://doi.org/10.62499/ijmcc.vi13.302
BibTeX
@article{mansurovazukhra2026,
  title = {ALGORITHMIC CO-AUTHORSHIP IN CHINESE NEWS PRODUCTION: THREE MODELS OF HUMAN-MACHINE COLLABORATION WITHIN THE FRAMEWORK OF PEN LAN'S THEORY},
  author = {Mansurova , Zukhra},
  journal = {Марказий Осиёда медиа ва коммуникациялар},
  year = {2026},
  number = {13},
  doi = {10.62499/ijmcc.vi13.302},
  url = {https://doi.org/10.62499/ijmcc.vi13.302}
}

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