Abstract: This research paper provides a comprehensive review of the latest advances in fake article detection using Artificial Intelligence (AI) and Machine Learning (ML) techniques. The study aims to highlight the strengths, limitations, and future research directions in the field of fake article detection. The paper discusses various Artificial Intelligence and Machine Learning techniques, including Natural Language Processing (NLP) techniques, Deep Learning techniques, Network Analysis techniques, and Hybrid Techniques. The review shows that AI and ML techniques offer a promising solution to the problem of fake article detection, but they also have limitations that must be addressed in future research. Overall, this paper provides valuable insights into the current state of research on fake article detection using AI and ML techniques.

Keywords: Artificial Intelligence, Machine Learning, Natural Language Processing, Deep Learning Techniques, Hybrid Techniques.

| DOI: 10.17148/IARJSET.2023.10417