Constructing the "Human-Machine Symbiosis" Form of Upholding Fundamentals and Innovating in Broadcasting and Hosting in the Era of Intelligent Media

Henan Radio and Television Station, Zhengzhou, Henan 450000

Abstract: [Purpose] This paper explores the construction of the "human-machine symbiosis" form that upholds fundamentals while innovating in broadcasting and hosting within the intelligent media era. [Methods] The research examines the current state of technological and ethical development of this symbiotic form, analyzing the urgency of its construction and proposing corresponding strategies. [Results] In the intelligent media era, the "human-machine symbiosis" form in broadcasting and hosting has achieved an organic integration of upholding fundamentals and innovation. Virtual anchors enable 24-hour continuous news broadcasting, rapidly responding to audience demands; advances in speech synthesis technology make broadcast content more natural and fluent, enhancing viewer experience; and the popularization of social media has transformed ordinary users into content producers, driving the vigorous development of user-generated content (UGC). By integrating advanced technologies such as artificial intelligence, machine learning, and big data, broadcasting and hosting have not only improved information dissemination efficiency but also enhanced content richness and immediacy. [Conclusion] The human-machine symbiosis model not only enriches content diversity but also introduces real-time interactive elements that allow audiences to directly participate in programs. Broadcasting hosts are no longer merely information transmitters but active facilitators of interaction. Leveraging big data analytics, they can deeply understand audience preferences and promptly adjust program content and style to ensure close connections with viewers.

Keywords: intelligent media era; broadcasting and hosting; "human-machine symbiosis"; form of upholding fundamentals and innovation

CLC Number: G222

Document Code: A

Article ID: 1671-0134(2025)05-32-04

DOI: 10.19483/j.cnki.11-4653/n.2025.05.005

Citation Format: Cai Zhixin. Constructing the "Human-Machine Symbiosis" Form of Upholding Fundamentals and Innovating in Broadcasting and Hosting in the Era of Intelligent Media [J]. China Media Technology, 2025, 32(5): 32-35.

In the intelligent media era, information dissemination is remarkably rapid and efficient, presenting broadcasting and hosting with unprecedented challenges and opportunities. Confronted with diverse audience demands and intense market competition, the industry must maintain professionalism while flexibly responding to technological innovations. This context compels broadcasting and hosting to advance the construction of a "human-machine symbiosis" form that achieves an organic integration of upholding fundamentals and innovation, thereby enhancing overall program quality and audience satisfaction for continuous adaptation and development in the intelligent media era.

1. Current State of Technological Development of the "Human-Machine Symbiosis" Form in Broadcasting and Hosting

As a crucial form of information dissemination in the intelligent media era, broadcasting and hosting are experiencing rapid development of "human-machine symbiosis" technologies. This evolution not only transforms traditional work models but also delivers entirely new audiovisual experiences for audiences. With continuous advances in artificial intelligence (AI) technology, particularly in natural language processing and speech synthesis, the industry model is undergoing profound changes [1]. AI applications enable machines to simulate human voice, emotion, and expression, allowing them to serve as broadcasters across news reporting, weather forecasting, entertainment programs, and other domains.

1.1 Speech Synthesis Technology for Broadcasting in the Intelligent Media Era

In the intelligent media era, many media companies have actively adopted high-quality speech synthesis technology to replace traditional broadcasters. For instance, AI-generated "virtual anchors" have been successfully deployed on multiple news platforms. These virtual anchors utilize advanced speech synthesis engines to simulate human vocal characteristics and emotional expression, making broadcast content more natural and fluent. Furthermore, virtual anchors can broadcast in multiple languages, significantly expanding audience reach. As technology progresses, more integrated symbiotic models combining AI and human broadcasters are likely to emerge, ushering the broadcasting industry into a new developmental stage.

1.2 Personalized Content Recommendation in Broadcasting and Hosting

With the continuous advancement of AI technology, personalized recommendation systems have become increasingly prevalent in broadcasting and hosting. AI can automatically generate program content recommendations tailored to audience needs by analyzing viewing habits, historical records, and interest preferences [2]. This process involves deep mining of massive datasets and algorithmic optimization, enabling each viewer to receive customized playlists that enhance their viewing experience. Audiences can participate in content creation through feedback and evaluations, further influencing program development direction. This two-way communication makes broadcasting content more audience-centric, ensuring programs can attract and retain viewers in a competitive market.

1.3 Real-Time Translation and Multilingual Support

Against the backdrop of deepening globalization, real-time translation technology opens new horizons for content dissemination in broadcasting and hosting, enabling coverage of broader audiences. AI-driven voice translation technology, through precise language processing and rapid response capabilities, allows broadcasters to instantly translate news, entertainment, education, and other information into multiple languages [3]. Additionally, broadcasting hosts can flexibly adjust expression methods and content according to different cultural backgrounds and audience needs, making programs more aligned with local tastes and further promoting content diversity and innovation. Consequently, real-time translation technology not only enhances information accessibility but also carves out new development directions for the broadcasting and hosting industry.

2. Current State of Ethical Development of the "Human-Machine Symbiosis" Form in Broadcasting and Hosting

In the intelligent media era, the "human-machine symbiosis" form in broadcasting and hosting is developing rapidly while facing a series of ethical issues. These concerns involve not only the application of AI technology but also the authenticity, transparency of information dissemination, and user rights [4].

2.1 Authenticity and Credibility of Information Dissemination

With the rise of virtual anchors and AI-generated content, authenticity and credibility have become important ethical issues. While AI can rapidly generate news and information, this technological application may also lead to the spread of misleading information and fake news.

2.1.1 Content Review Mechanisms

Faced with massive information generation, media organizations need to establish rigorous content review mechanisms to ensure broadcast information undergoes thorough verification. This not only improves information accuracy but also enhances public trust in media. Simultaneously, broadcasting hosts should possess relevant professional knowledge and ethical awareness to maintain fairness and objectivity in information dissemination when confronting rapid media changes [5].

2.1.2 Transparency and Audience Right to Know

While using AI to generate content, media must clearly inform audiences which content is machine-generated to safeguard their right to know. This transparency helps establish media integrity and enhances audience ability to identify information sources, making them more vigilant about potential biases and misinformation when obtaining information.

2.1.3 Fake News and Prevention Mechanisms

With social media development, fake news spreads increasingly rapidly. It is necessary to establish robust prevention mechanisms that use technical means to identify and label false information [6]. Meanwhile, broadcasting hosts need the ability to identify and refute fake news to reduce the impact of misinformation on the public.

2.2 Professional Ethics and Responsibility

In the "human-machine symbiosis" broadcasting environment, professional ethics and responsibility become increasingly important. How broadcasting hosts maintain professional standards and ethical norms with AI technology assistance is crucial for sustainable industry development.

2.2.1 Enhancement of Professional Competence

As AI technology develops, broadcasting hosts need to continuously enhance their professional competence, mastering not only traditional broadcasting skills but also understanding relevant technologies and their operational mechanisms. This knowledge updating enables them to better utilize technical tools, improve program quality, and maintain human unique expression and emotional resonance amid technological evolution [7].

2.2.2 Ethical Responsibility in Content Creation

Broadcasting hosts must bear ethical responsibility for transmitted content. When using AI to generate content, they should review and adapt program outputs to ensure alignment with public interest and social values. This sense of responsibility is reflected not only in quality control but also in audience guidance and influence.

2.2.3 Ethical Considerations for Collaboration and Symbiosis

In the "human-machine symbiosis" environment, the relationship between broadcasting hosts and AI requires re-examination. They must understand AI limitations and maintain human creativity and judgment in collaboration. Reflecting on the ethical issues of human-machine collaboration can help the broadcasting industry find new development paths where technology benefits human society rather than replacing human values and functions [8].

3. The Urgency of Constructing the "Human-Machine Symbiosis" Form in Broadcasting and Hosting

Currently, the broadcasting and hosting industry faces unprecedented challenges and opportunities. With emerging technologies such as artificial intelligence, big data, and social media, the "human-machine symbiosis" form is gradually taking shape. This transformation not only improves information dissemination efficiency and accuracy but also demands exploration of upholding fundamentals and innovation in content creation and dissemination methods [9].

3.1 Demand for Technology Empowerment and Content Diversification

Technological progress has brought profound changes to content presentation in broadcasting and hosting. Emerging technologies such as AI, machine learning, and big data analytics provide strong support, enabling the creation of richer and more personalized content. Audience viewing habits are also shifting toward real-time and personalized experiences, requiring broadcasting and hosting to innovate in these aspects to meet new market demands.

3.1.1 Application of AI Technology

Advances in AI speech synthesis and image processing technology have made virtual anchors possible. These virtual anchors can broadcast news 24 hours a day, automatically generating content based on real-time data. This flexible broadcasting approach significantly improves information dissemination efficiency while presenting new challenges to traditional broadcasters, who need to collaborate with AI and transform their work models.

3.1.2 Enhanced User Participation

The rise of social media and live streaming platforms means audiences are no longer passive information receivers but participants in content production. Broadcasting hosts must actively engage with and guide user-generated content, which not only enriches program diversity but also gives audiences greater sense of belonging. Effectively interacting with users to form a healthy communication ecosystem is an urgent issue for broadcasting and hosting.

3.1.3 Multi-Platform Integration

In the intelligent media era, information dissemination is no longer limited to traditional television or radio but occurs through various social media and online platforms. Broadcasting hosts must possess cross-platform communication capabilities, utilizing different media characteristics to enhance content presentation and ensure information reaches broader audiences. This requires them to innovate in content creation and break away from traditional single-mode broadcasting [10].

3.2 Strengthening Professional Competence and Ethical Responsibility

Against the backdrop of rapid technological development, professional competence and ethical responsibility in broadcasting and hosting are particularly important. As AI technology intervenes, the authenticity and authority of information dissemination face challenges, and broadcasting hosts must maintain high professional standards to address these pressures [11].

3.2.1 Improving Professional Competence

As technology continuously updates, broadcasting hosts need to constantly learn and adapt to new technologies, mastering knowledge related to big data analytics and AI applications to better complete program planning and implementation. They must possess sharp judgment to identify authentic and important information from massive data.

3.2.2 Adhering to Ethical Norms

In the information dissemination process, broadcasting hosts must strictly adhere to professional ethics to ensure content authenticity and objectivity. In an era of rampant fake news, their role extends beyond information transmitters to information filters and bearers of dissemination responsibility. They must be accountable for broadcast content to protect audience rights to know and choose.

3.2.3 Maintaining Public Trust

Through rigorous information review and reporting, broadcasting hosts should enhance public trust in media. This concerns not only individual careers but also the healthy development of the entire media industry. Good reputation and professional image will win broadcasting hosts greater audience support and attention [12].

3.3 Adapting to Market Changes and Content Innovation

Currently, audience demands for content are increasingly diversified, and the broadcasting and hosting industry must adapt to market changes through continuous content innovation to enhance competitiveness.

3.3.1 Grasping Market Trends

As audience consumption habits change, especially among younger generations who prefer short videos and instant information, broadcasting hosts need to promptly adjust content strategies and launch new program formats that align with audience preferences. For example, combining hot social topics, practical knowledge sharing, and highly interactive program formats can effectively attract and retain viewers.

3.3.2 Building Branded Content

In fierce market competition, broadcasting hosts need to shape personal brands to enhance program recognition and influence. Through unique perspectives and expression styles, they can expand their visibility and make their programs "must-watch" content for audiences [13]. Additionally, team collaboration and cross-disciplinary cooperation are important pathways for brand building.

3.3.3 Innovating Communication Methods

Beyond traditional broadcasting forms, broadcasting and hosting must utilize new media technologies to innovate communication methods. For instance, combining AR/VR technology can provide more immersive experiences for audiences, or using short video dissemination to integrate traditional news with new entertainment content, bringing fresh experiences to viewers. Such innovation will further expand audience reach and enhance program influence.

4. Strategies for Constructing the "Human-Machine Symbiosis" Form in Broadcasting and Hosting

Currently, "human-machine symbiosis" has become the new form for broadcasting and hosting development. Upholding fundamentals while innovating is the crucial strategy for achieving this transformation. This paper analyzes the application of AI in broadcasting and hosting, the impact of mobile internet and social media, information authenticity and credibility, user privacy and data security, and professional ethics and responsibility. It summarizes the urgency of constructing this new form from three aspects: technology empowerment and content diversification demand, strengthening professional competence and ethical responsibility, and adapting to market changes and content innovation. Finally, it proposes construction strategies focusing on deep integration of technology and content, community building through user participation, and enhancement of professional competence and innovation capabilities, aiming to provide references for industry development.

4.1 Deep Integration of Technology and Content

4.1.1 Application of Artificial Intelligence Technology

The rapid development of AI technology in the intelligent media era offers new possibilities for broadcasting and hosting. By adopting efficient speech synthesis, natural language processing, and data analysis technologies, broadcasters can collaborate closely with AI to achieve intelligent and personalized content. For example, AI-generated virtual anchors can not only broadcast news 24/7 but also update content in real-time through data feeds, ensuring information timeliness and accuracy [14]. This deep integration of technology and content enables broadcasting and hosting to not only meet audience information needs but also improve dissemination efficiency.

4.1.2 Diversified Content Creation

In the "human-machine symbiosis" model, broadcasters can leverage AI's data analysis capabilities to understand audience needs and preferences in real-time, thereby creating more attractive programs. AI can analyze massive viewing data to identify audience interest points, helping broadcasters adjust content direction, narrative style, and interaction methods. This data-driven innovation strategy can enhance program diversity and increase audience engagement and stickiness.

4.1.3 Personalized Recommendation Systems

Personalized recommendation systems represent another important form of technology-content integration. By analyzing user viewing habits and historical records, AI can push program content that matches their interests. This not only optimizes audience viewing experience but also provides broadcasters with new bases for adjusting content and style [15]. Based on recommendation data, broadcasters can create programs that better meet audience needs, thereby improving overall program quality and ratings.

4.2 User Participation and Community Building

4.2.1 Encouraging User-Generated Content

Social media development enables ordinary users to become content producers. Broadcasting hosts need to value and guide UGC creation. By setting up interactive segments and topic discussions to encourage audience participation in content creation, they can not only enrich program content but also enhance audience engagement and sense of belonging. This community-based operational model helps build good audience relationships and strengthen user loyalty.

4.2.2 Strengthening Audience Feedback Mechanisms

Establishing effective user feedback mechanisms is key to achieving "human-machine symbiosis." Broadcasting hosts should pay attention to audience feedback, understand their views and suggestions on program content, and make timely adjustments accordingly. Feedback can be collected through social platforms and online surveys to optimize program structure and content and improve audience satisfaction. Through active interaction with audiences, broadcasting hosts can build closer connections and form a healthy interactive ecosystem.

4.2.3 Building Online-Offline Communities

To enhance audience community sense, the broadcasting and hosting industry can consider creating combined online-offline community activities. Through offline meetups, audience interaction events, and online live streaming, broadcasters can directly communicate with audiences, listen to their needs and suggestions, and further improve program quality. This two-way interaction not only enhances program attractiveness but also helps broadcasters better understand audiences and promote content innovation.

4.3 Enhancing Professional Competence and Innovation Capability

4.3.1 Improving Technical Literacy

Broadcasting hosts must improve their technical literacy and familiarize themselves with various emerging technology applications, including AI, data analytics, and social media tools. By learning relevant skills, they can better adapt to industry changes and use these tools to enhance work efficiency and program quality [16]. Additionally, improved technical literacy helps broadcasters collaborate with AI and maximize the effectiveness of human-machine cooperation.

4.3.2 Cultivating Innovative Thinking

Innovation is the core driving force for broadcasting and hosting development. Broadcasters need to cultivate open innovative thinking, daring to try new content forms and communication channels. In content creation, they can apply cross-disciplinary knowledge, combine trends from different fields for innovation, and create more influential and attractive programs [17]. Simultaneously, broadcasters should follow industry dynamics and keep pace with the times to quickly adapt to market demand changes.

4.3.3 Strengthening Professional Training and Education

To comprehensively improve the overall quality of the broadcasting and hosting industry, the sector should strengthen professional training and education for broadcasters. Corresponding training courses should be offered based on current industry technologies and trends to help broadcasters master necessary skills and knowledge [18]. At the same time, training on ethics and professional norms should be enhanced so that broadcasters always adhere to content authenticity and correct values while innovating, providing audiences with high-quality information.

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Author Bio: Cai Zhixin (1988—), male, Han ethnicity, from Suining, Jiangsu, is a first-level broadcaster at Henan Radio and Television Station, serving as a broadcaster and host. His research focuses on broadcasting and hosting.

(Executive Editor: Li Yansong)