Enhancing Media Convergence with Artificial Intelligence to Stabilize Financial Markets

Haozhong Xue; Yanyi Zhong; Jingwen He

doi:10.70393/616a6e73.323531

OPEN ACCESS |Research Article ||14 January 2025

Enhancing Media Convergence with Artificial Intelligence to Stabilize Financial Markets

Haozhong Xue

New York University

hx2341@nyu.edu

Tandon School of Engineering, New York University, New York, USA, 11101, hx2341@nyu.edu.

Yanyi Zhong

Pepperdine University

yanyi.zhong@alumnimail.pepperdine.edu

Graziadio Business School, Pepperdine University, Malibu, USA, 90263, yanyi.zhong@alumnimail.pepperdine.edu.

Jingwen He

Washington University in St. Louis

jingwenhe@wustl.edu

Samfox School of Architecture, Washington University in St. Louis, California, USA, 94608, jingwenhe@wustl.edu.

* Corresponding Author³: Jingwen He, E-Mail: jingwenhe@wustl.edu

Publication

Accepted Unknow ; Published 2025 January 14

Academic Journal of Natural Science, 2025, 2(1), 3078-5170.

Abstract

This study explores the application of artificial intelligence (AI) technology in media convergence, focusing on how AI is driving deep integration of media and financial markets through big data analytics, AIGC (AI-generated content), and intelligent communication technologies. Ai-driven sentiment analysis and fake news detection tools effectively solve the problem of information asymmetry and the spread of false news in the financial market and promote market stability and transparency. Through personalized recommendations and intelligent communication, AI provides users with a more accurate content experience and improves user engagement and satisfaction. In addition, the rapid development of AIGC and big data ecology has promoted the intellectualization of information dissemination and public opinion analysis, providing more forward-looking support for financial market decision-making.

Keywords

Artificial Intelligence (AI) , Media Convergence , AIGC (AI-Generated Content) , Sentiment Analysis and Fake News Detection .

Metadata

DOI:

10.70393/616a6e73.323531

ARK:

ark:/40704/AJNS.v2n1a01

Pages: 1-6

References: 32

Disciplines: Computer Science

Subjects: Artificial Intelligence

Cite This Article

APA Style

Xue, H., Zhong, Y. & He, J. (2025). Enhancing media convergence with artificial intelligence to stabilize financial markets. Academic Journal of Natural Science, 2(1), 1-6. https://doi.org/10.70393/616a6e73.323531

Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.

FUNDING

Not applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not applicable.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

INFORMED CONSENT STATEMENT

Not applicable.

CONFLICT OF INTEREST

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

AUTHOR CONTRIBUTIONS

Not applicable.

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