A Preliminary Analysis of the Quality of the Content Produced by AI Bots Using AI in Content Generation

Authors

  • K. Ravichandran Department of Visual Communication and Animation, Dr MGR Educational and Research Institute, Chennai 600095, Tamil Nadu, India
  • Senthil Kumar Ilango Principal Software Engineer/Computer Science Graduate, Florida Institute of Technology, Melbourne, FL, USA

Keywords:

Content, Machine Learning, AIBots, Plagiarism, AI Software and Digital Era

Abstract

Machine learning (ML) has significantly changed how material is traditionally produced, and now, AI writers are producing content in a manner identical to that of humans without sacrificing quality. The inventiveness and quality of content produced by AI bots can usually far outpace that of human writers. The study's primary goals are to identify the various AI tools that Indian bloggers and journalists have used to date to create content and to assess the quality of that content.. The study took into account a few apps and their characteristics, and it used qualitative methods to examine the benefits and drawbacks of machine-generated content in terms of word choice, sentence structure, inventiveness, grammar, spelling mistakes, and other factors. Since everything in the digital age is based on technology, this study will assist a newsroom or media company in producing content with minimal human involvement. AI bots have evaluated the study, which will result in less plagiarism and quicker, more inventive content generation than a human writer. These robots may eventually outcompete humans in terms of careers and job positions.

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Published

16.04.2023

How to Cite

K. Ravichandran, & Senthil Kumar Ilango. (2023). A Preliminary Analysis of the Quality of the Content Produced by AI Bots Using AI in Content Generation. International Journal of Intelligent Systems and Applications in Engineering, 11(5s), 585–590. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2819

Issue

Vol. 11 No. 5s (2023): Special Issue on Applications of Advanced Engineering Technologies

Section

Research Article

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