Research on the Application of Generative AI-Based Virtual Anchors in News Reporting

Mingyang Hu

doi:10.54254/2753-7048/2025.KM27818

Lecture Notes in Education Psychology and Public MediaOpen access

Research on the Application of Generative AI-Based Virtual Anchors in News Reporting

Research Article

Open Access

Research on the Application of Generative AI-Based Virtual Anchors in News Reporting

Mingyang Hu ^1*

¹ Heilongjiang University

^*Corresponding author: 1959890957@qq.com

Published on 14 October 2025

LNEP Vol.126

ISSN (Print): 2753-7056

ISSN (Online): 2753-7048

ISBN (Print): 978-1-80590-327-7

ISBN (Online): 978-1-80590-328-4

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Abstract

With the rapid advancement of artificial intelligence technology, generative AI-driven virtual anchors are increasingly entering the field of news communication. This study examines virtual anchors from mainstream media outlets, including Xinhua News Agency's digital reporter "Xin Xiao Hao" and CCTV's AI anchor "Xiao C." Through the collection of 260 survey questionnaires and the application of content analysis, it systematically explores the current status of virtual anchors in news reporting, audience acceptance levels, and their impact on the news communication ecosystem. Findings reveal that virtual anchors enjoy significantly higher acceptance in lifestyle service and entertainment news compared to political and breaking news. Audiences generally maintain reservations about their judgment and interpretation capabilities, with notable differences across generational groups. The study further reveals that virtual anchors with content generation and narrative capabilities are no longer merely passive information conduits but increasingly demonstrate agency in news production. However, when generative AI autonomously constructs news narratives, audience trust mechanisms exhibit dialectical characteristics of "concurrent certainty and skepticism."

Keywords:

generative artificial intelligence, virtual anchor, news reporting, intelligent communication, media ecology

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References

[1]. Liu Z., He L.L. (2024) Research on the Application and Risks of Generative Artificial Intelligence in News Reporting. Journal of China Radio and Television, (10), 65–69.

[2]. Niu F., Liu H.M. (2024) Application and Implementation of AI-Based News Video Generation. Television Technology, 48(12), 102–106.

[3]. Qin Y., Zhang P.F. (2025) The Impact of AI Large Models to General Artificial Intelligence on News Reporting. Journalism and Culture Construction, (8), 5–7.

[4]. Yang C. (2019) The Advantages and Disadvantages of the "AI Synthetic Anchor" Function in the Context of Artificial Intelligence. In: Media Forum: Vol. 2, pp. 42–43.

[5]. Wu F., Liu Z.X. (2021) Historical Evolution, Current Applications, and Industry Impact of AI Anchors. Journal of Southwest University for Nationalities (Humanities and Social Sciences Edition), 42(5), 174–183.

[6]. Meng Y.Y. (2020) News Information Production and Dissemination Driven by Artificial Intelligence: Reflections Based on Humanistic Values and Technological Development. Media, (23), 75–77.

References

[1]. Liu Z., He L.L. (2024) Research on the Application and Risks of Generative Artificial Intelligence in News Reporting. Journal of China Radio and Television, (10), 65–69.

[2]. Niu F., Liu H.M. (2024) Application and Implementation of AI-Based News Video Generation. Television Technology, 48(12), 102–106.

[3]. Qin Y., Zhang P.F. (2025) The Impact of AI Large Models to General Artificial Intelligence on News Reporting. Journalism and Culture Construction, (8), 5–7.

[4]. Yang C. (2019) The Advantages and Disadvantages of the "AI Synthetic Anchor" Function in the Context of Artificial Intelligence. In: Media Forum: Vol. 2, pp. 42–43.

[6]. Meng Y.Y. (2020) News Information Production and Dissemination Driven by Artificial Intelligence: Reflections Based on Humanistic Values and Technological Development. Media, (23), 75–77.

Cite this article

Hu,M. (2025). Research on the Application of Generative AI-Based Virtual Anchors in News Reporting. Lecture Notes in Education Psychology and Public Media,126,15-23.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceeding of ICIHCS 2025 Symposium: Integration & Boundaries: Humanities/Arts, Technology and Communication

ISBN: 978-1-80590-327-7(Print) / 978-1-80590-328-4(Online)

Editor: Enrique Mallen

Conference website: https://2025.icihcs.org/Kunming.html

Conference date: 21 October 2025

Series: Lecture Notes in Education Psychology and Public Media

Volume number: Vol.126

ISSN: 2753-7048(Print) / 2753-7056(Online)

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