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Papers tagged with "Fake News Detection"
Multimodal Fake News Detection Using DistilBERT And Xception Convolutional Neural Network
The Rapid Proliferation Of Misinformation Across Digital Platforms Poses A Growing Threat To Public Discourse, Democratic Processes, And Societal Trust. Traditional Fake News Detection Approaches Rely Exclusively On Textual Analysis, Failin...
FakeFinder: Context-Aware News Credibility Detection Using NLP And Machine Learning
With The Rapid Growth Of Digital Media And Social Networking Platforms, The Spread Of Misinformation And Fake News Has Become One Of The Most Pressing Challenges Of The Modern Era. Platforms Such As WhatsApp, Facebook, And Twitter Deliver B...
FAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING
The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News...
Deep Learning – Based Fake News Classification With Android App Integration
Fake News And Spam Emails Present Critical Challenges To The Digital World, Impacting Societal Trust And Cybersecurity. This Design Proposes A Scalable Android- Rested Operation That Employs Advanced Deep Knowledge Approaches For Identifyin...
A SURVEY: FAKE NEWS DETECTION USING MACHINE LEARNING & AI TECHNIQUES
Artificial Intelligence Is An Analysis Of How Algorithms Can Do Things That Humans Are Doing Differently Right Now. It Is Machine Intelligence It Industry That Aims To Create It. Researchers Around The World Have Developed A Lot Of Interest...
A STUDY ON DETECTION OF FAKE NEWS
Social Media For News Consumption Is A Double-edged Sword. On The One Hand, Its Low Cost, Easy Access, And Rapid Dissemination Of Information Lead People To Seek Out And Consume News From Social Media. On The Other Hand, It Enables The Wide...