Author(s)

Xinyu Qi ¹

Affiliation(s)

¹ Graduate School, Hong Kong Baptist University, Hong Kong, 519087, China

Corresponding Author

Xinyu Qi

ABSTRACT

This paper thoroughly explores the application of big data and artificial intelligence (AI) technologies in new media communication channels and provides a conceptual analysis thereof. Firstly, it introduces the basic concepts and characteristics of big data and AI, as well as their extensive applications in various fields. Secondly, it analyzes in detail the characteristics and development trends of new media communication, including important features such as digitization, personalization, real-time interaction, and interactivity. Subsequently, it lists several typical cases and analyzes their mechanisms of action concerning the application of big data and AI in new media communication, covering aspects such as content recommendation, public opinion monitoring, and user profiling. At the same time, this paper also delves into the challenges posed by these technological applications, such as data privacy protection and information security, as well as possible solutions. Additionally, it explores the potential opportunities brought about by big data and AI in new media communication, such as precision marketing and personalized services, as well as their impacts on society, economy, and culture. Finally, it forecasts the future development trends of big data and AI in new media communication, emphasizing the importance of technological innovation and policy guidance. Through an in-depth analysis of these issues, this paper aims to provide theoretical references and practical guidance for researchers and practitioners in related fields.

KEYWORDS

Big Data; Artificial Intelligence; New Media Communication; Application Analysis; Challenges and Opportunities; Development Trends

CITE THIS PAPER

Xinyu Qi, Application analysis of big data and AI technology in new media communication channels. Media and Communication Research (2024) Vol. 5: 23-29. DOI: http://dx.doi.org/10.23977/mediacr.2024.050204.

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