Author Login IJIRT Partner Network (IPN) Login

A MACHINE LEARNING APPROACH TO DETECT FAKE NEWS ARTICLES

  • Unique Paper ID: 165600
  • Volume: 11
  • Issue: 1
  • PageNo: 1721-1726
  • Abstract:
  • In an era dominated by digital information dissemination, the proliferation of fake news has emerged as a formidable challenge. This paper presents a comprehensive overview of techniques and methodologies employed in the detection of fake news. Delving into various dimensions including textual, visual, and social cues, it sheds light on the intricacies and complexities of the detection process. Through a critical evaluation of state-of-the-art algorithms using benchmark datasets, we assess their strengths and limitations. This study illuminates the current landscape of fake news detection and provides valuable insights for future research in this critical domain. As misinformation continues to threaten the credibility of information sources, our endeavors in fake news detection stand as a beacon of hope in upholding the integrity of information and fortifying public trust.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 1
  • PageNo: 1721-1726

A MACHINE LEARNING APPROACH TO DETECT FAKE NEWS ARTICLES

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry