Subjective or Objective: A Study of Classifying News Content based on Machine Learning Algorithms: -- An Example of Sports Articles

Chong Zhu; Yiman Yu

doi:10.54097/ad878g55

Authors

Chong Zhu
Yiman Yu

DOI:

https://doi.org/10.54097/ad878g55

Keywords:

Machine Learning, Classification Algorithms, Sports News Articles, Subjective and Objective

Abstract

In today's world, self-media as well as streaming media platforms have gradually become the main channels for news dissemination. With the advent of the artificial intelligence era, AI-generated technology will profoundly affect the news industry. Many press releases generated by AI are sufficiently "fake" as well as cascading, so the subjectivity and objectivity of news media are gradually blurred. In order to better standardize and regulate the articles published on self-media platforms, this study is based on 1,000 sports articles and machine learning algorithms to categorize and describe the content of the articles, so as to determine whether the articles are objective or not. At the end of the study, we found that the KNN algorithm performed best in classification.

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