The collaborative network of digital news production: Mechanisms of generation and connection
Siyan Li
University of Westminster
DOI: https://doi.org/10.59429/pmcs.v7i3.11564
Keywords: Digital news production; Collaborative network; Media convergence; Human–machine collaboration; News dissemination
Abstract
In the digital era, news production has shifted from a linear process to a collaborative network characterized by cross-platform integration, technological empowerment, and audience participation. This study explores how digital news production networks are generated and how diverse actors are interconnected. From the perspective of generation, the research emphasizes the role of artificial intelligence, cloud-based editing systems, data-driven topic selection, and agile workflows in shaping new production logics. From the perspective of connection, the study analyzes the multi-level linkages among journalists, editors, and technical staff within organizations, as well as cross-institutional collaboration between media, platforms, think tanks, and audiences. Furthermore, the article highlights the interplay between human actors, technological systems, and societal feedback in constructing a dynamic ecosystem of digital news dissemination. The findings suggest that the collaborative network not only enhances efficiency and reliability in news production but also reshapes the relationships between media institutions, technology, and the public in the digital communication landscape.
References
[1]Song, C. L. (2021). Reflections on the transformation of news production in the era of artificial intelligence: Taking writing robots as an example. Journal of News Research Guide, 12(11), 36–38.
[2]Shao, W. X., & Yin, Q. X. (2024). News production in the era of generative artificial intelligence: Relationship reconstruction, practice transformation, and value adherence. Communication Innovation Research, 1, 203–216.
[3]Feng, W. L. (2024). The practice of digital-intelligent transformation in mainstream media: An analysis based on the “China Media Intelligence” case collection. Journalistic Frontline, 8, 57–60.
[4]Wang, Y. (2019). Artificial intelligence technology empowering traditional news reporting: Taking Xinhua News Agency’s AI synthetic anchor as an example. Publishing Horizon, 21, 64–66.
[5]Li, K. Y. (2024). Opportunities and reflections: The impact of AIGC technology on the news industry—Taking “Bay Finance AI Express” as an example. Journalism Forum, 38(4), 79–82.
[6]Nan, R. Q. (2019). From “exclusive news” to “standard production”: The value shift of news production models in the era of artificial intelligence. Journal of Zhengzhou University (Philosophy and Social Sciences Edition), 52(2), 109–112.
[7]Sun, W. B. (2024). The application of artificial intelligence technology in news production and its impact on journalism. News Culture Construction, 5, 38–40.