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Academic Journal of Humanities & Social Sciences, 2021, 4(5); doi: 10.25236/AJHSS.2021.040513.

Research on the Training Model of Broadcasting and Hosting Talents under the Background of AI Anchors


Xuya Wang

Corresponding Author:
Xuya Wang

School of Communication, Mianyang Teachers' College, Mianyang 621000, China


With the development of artificial intelligence in the media field, the traditional art of broadcasting and hosting is facing huge challenges in teaching and practice. In particular, the advent of artificial intelligence synthetic anchors has caused a huge impact on the host and announcer industry. Many practitioners are full of doubts about whether they will be replaced by artificial intelligence anchors. AI anchors can not only broadcast news without error, spread information across languages but also work uninterrupted 24 hours a day, 365 days a day, which greatly improves work efficiency. In 2019, foreign media such as The Times, Newsweek, and Los Angeles Times reported that news anchors in China may face some new competition because AI anchors can imitate human facial expressions and behaviors when broadcasting news. This means that from the screen, the simulation level of the artificial intelligence anchor is almost the same as that of a real person. This undoubtedly puts those live-action anchors facing the risk of being eliminated, and it puts forward new requirements for the teaching and training of the art of broadcasting and hosting. Therefore, in the context of AI anchors, it is urgent to explore how to train competitive announcers and hosts. This paper studies the development of the talent training model for broadcasting and hosting under the background of artificial intelligence. The results will help to cultivate industry-competitive broadcasting and hosting talents and greatly improve the professional ability of students majoring in broadcasting and hosting arts. 


artificial intelligence, AI anchor, broadcast host, talent training

Cite This Paper

Xuya Wang. Research on the Training Model of Broadcasting and Hosting Talents under the Background of AI Anchors. Academic Journal of Humanities & Social Sciences (2021) Vol. 4, Issue 5: 74-77. https://doi.org/10.25236/AJHSS.2021.040513.


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