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Research and Evaluation Methods for AI Applications in the News Media Industry

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DOI: 10.25236/icfmhss.2024.021

Author(s)

Honglei Cheng, Peizhi Zhao, Xinyu Ding, Yuhao Gao, Xichen Cao, Hui Liu

Corresponding Author

Honglei Cheng

Abstract

With the rapid development of artificial intelligence technology, more and more AI macromodels are put into the market and widely used, which has a great impact on the news media industry. In this paper, we first investigated the current status of the application of AI macromodels in the news media industry and the many challenges it faces, and based on more than 100 AI macromodels built in the OpenRouter platform, we established an evaluation system for the content generation of AI macromodels according to the four aspects of performance, neatness, convenience, and content, and compared the textual content generation capability of the mainstream macromodels in the news media industry, and analyzed that the application of AI macromodels in the news media industry has a bright future, but more details and hints are needed to generate more accurate content, and finally puts forward the outlook of the future digital consequential AI scoring based on the existing analysis results.

Keywords

artificial intelligence; news media industry; AI macromodels; evaluation system; digital consequential