Impact of ChatGPT Technology on Sports Industry

DOI: https://doi.org/10.62517/jnme.202410405

Author(s)

Zefeng Wang1, Yueke Hu2, Jiaxi Liu2, Lianxin Hu1,*

Affiliation(s)

1Huzhou Key Lab of Waters Robotics Technologies, School of Information Engineering, Huzhou University, Huzhou, Zhejiang, China 2School of Information Engineering, Huzhou University, Huzhou, Zhejiang, China *Corresponding Author.

Abstract

With the rapid development of the Internet, the era of smart media is an unstoppable trend in the evolution of the communications industry. Voice technology represented by ChatGPT constitutes a pivotal element in the production of intelligent news, with voice-based news serving as a prime application domain for ChatGPT's voice technology in the media sector, particularly excelling in sports journalism. This paper is based on an interdisciplinary theoretical foundation that encompasses sports journalism and communication studies, psychology, linguistics, and phonetics. Starting from the current application status of ChatGPT voice news in the sports industry, it proceeds through an analysis of dissemination effects and inherent flaws. It investigates the research status, practical application, impact, data analysis, and relevant strategies of ChatGPT in the realm of sports journalism. Additionally, it conducts an in-depth analysis of the myriad issues accompanying the smart transformation of sports news production driven by artificial intelligence. These issues entail the technological risks inherent in ChatGPT itself, as well as the professional challenges posed to journalists by the expansion of this technology. Building upon meticulous analysis, the research endeavors to propose feasible countermeasures, aiming to illuminate the path for future intelligent news production in media outlets. It aspires to offer insightful reflections and practical guidance, thereby assessing the potential impact of ChatGPT technology on the future landscape of the sports industry.

Keywords

ChatGPT; Sports News; Artificial Intelligence; AI; Technological Advances

References

[1] Robert Scoble & Shel Israel. Age of Context [M]. Beijing United Publishing Company, 2014. [2] N. Diakopoulos. Towards a Design Orientation on Algorithms and Automation in News Production. Digital Journalism. November, 2019; 1681902. [3] Andrea L. Guzman. Prioritizing the Audience's View of Automation in Journalism. Digital Journalism. 2019; 168902. [4] Jonathan Stray. Making artificial intelligence work for investigative journalism. Digital Journalism. 2019; 7(8):1076-1097. [5] Neil Thurman. Live Blogging- Digital Journalism's Pivotal Platform? A case study of the production, consumption, and form of Live Blogs at Guardian. co. uk. Social Science Electronic Publishing. 2013; (1):714935. [6] Creech & Mendelson. Imagining the Journalist of the Future: Technological Visions of Journalism Education and Newswork. Communication Review. 2015:1031998. [7] Taina Bucher. Platform Power and AI: The Case of Content. AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. 2021; 2. [8] T. Franklin Waddell. Bandwagon effects in social television: How audience metrics related to size and opinion affect the enjoyment of digital media. Computers in Human Behavior. 2020; (107):106270. [9] Yu Guoming. Machine News Writing Drives New Transformations in the Media Landscape. News Gathering and Editing. 2015; (6):26-27. [10] Wang Yue & Zhi Tingrong. The Profound Impact of Robot Journalism on Future News Production ——A Review of Xinhua News Agency's 'Quick Pen Xiao Xin. News and Journalism. 2016; (02):12-14. [11] Kuang Wenbo. The Path of Media Industry Transformation: Embracing Artificial Intelligence. News and Journalism. 2018; (1):77-81. [12] Wu Shiwen. Exploring the Mechanisms of Symbiotic Growth between Journalists and Artificial Intelligence: A Relational Perspective. China Publishing. 2018; (19):21-25. [13] Wang Dapeng. Opening the "Black Box" of Artificial Intelligence: Starting from ChatGPT's Popularity. The Grand View of Science Park. 2023; (6):61-62. [14] Lin Zhuming. The Roles of Journalists in the Intelligent Media Era: Examination, Positioning, and Responses. China Publishing. 2018; (11):68-71. [15] Wang Bin & Gu Tiancheng. Professional Role Transformation of Journalists in the Intelligent Media Era. News and Journalism. 2019; (4):29-36. [16] Liu Jianping & Jiang Qianlan. Viewing the Impact of Artificial Intelligence on Journalists' Roles from an Institutional Perspective. Fujian Forum (Humanities and Social Sciences Edition. 2019; (8):196-200. [17] Yu Chun. Embodiment and Disembodiment in Communication: Cognitive Interaction of AI News Anchors. International news community. 2020; (5):29-44. [18] Wu Kai. An Analysis of the Originality Issues in AI-Generated News. Young journalists. 2019; (1):72-73. [19] Fu Hongan. Research on the Legal Regulation of Content Production on Blockchain-based News Platforms. News and Communication Commentary. 2019; (2):70-79. [20] Wei Lingfeng. The Application of Artificial Intelligence Technology in Journalism and Its Impact. Cradle of Journalists. 2024; (5):9-11.