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Maskan Manasa; Maddula Shantesh; Dhudukala Thapaswini; S.Vinod Reddy; Mavoori Pratussha

AI-Powered Fact-Check & Fake News Detection Tool

Authors: Maskan Manasa, Maddula Shantesh, Dhudukala Thapaswini, S.Vinod Reddy, Mavoori Pratussha

Unique Paper ID: 177059
Volume: 11
Issue: 12
PageNo: 827-832

Keywords: Fake News Detection AI Machine Learning NLP Fact-Checking Deep Learning Misinformation Explainable AI Knowledge Graphs.

Abstract:
The rise of misinformation and fake news on digital platforms has become a critical issue, influencing public opinion, policy-making, and global events. Traditional fact-checking methods rely on manual verification, which is inefficient and slow in the fast-paced online ecosystem. This paper presents an AI-powered fact- checking tool that integrates Natural Language Processing (NLP), machine learning (ML), deep learning (DL), and knowledge graphs to automate the detection and verification of false information. The system employs real- time data retrieval, sentiment analysis, contextual verification, and credibility scoring to assess the authenticity of news articles and social media content. Additionally, the integration of explainable AI (XAI) enhances transparency in decision-making, increasing user trust. Our model demonstrates high accuracy and recall in detecting misinformation, making it a scalable solution for mitigating the spread of fake news and improving information reliability.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 827-832

AI-Powered Fact-Check & Fake News Detection Tool

Available:https://ijirt.org/article?manuscript=177059

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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