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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43481
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rise of misinformation and hoaxes on the internet poses a significant threat to public trust and safety. This project presents a Hoax Detection system leveraging Artificial Intelligence (AI) and web scraping techniques to identify and flag potential hoaxes or false information across various online platforms. The system employs Natural Language Processing (NLP) algorithms to analyze text patterns and classify content as likely hoaxes or credible information. By integrating Machine Learning (ML) models trained on datasets of verified and unverified information, the system learns to distinguish credible sources from dubious ones with high accuracy.
KEYWORDS
Publication Date
1/3/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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