Fake News Detection in Python
A collection of GNN-based fake news detection models.
Final Year Fake News Detection using Machine learning Project with Report, PPT, Code, Research Paper, Documents and Video Explanation.
CyberPunkOS is a virtual machine that incorporates several tools for Open Source Intelligence (OSINT) to dismantle Fake News
This project detects whether a news is fake or not using machine learning.
Fake News Detector Web Application
Full stack Fake News Detection using machine learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Fake News Detection by Learning Convolution Filters through Contextualized Attention
PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection
Fake News Detection using Machine Learning Algorithms
Multiview Spatio-Temporal Learning with Dual Dynamic Graph Convolutional Networks for Rumor Detection
Dual Evidence Enhancement and Text-Image Similarity Awareness for Multimodal Rumor Detection
Multi-Modal Rumor Detection with Scene Graph Attention Networks Integrating External Knowledge and Evidence
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
Flask & Python - Fake news prediction using Machine Learning algorithms and Flask Framework.
Fake News Detection in Python using Machine Learning
Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).
This project is relevant to the media industry, news outlets, and social media platforms that are responsible for sharing news articles. Classifying news articles as real or fake can help these organizations improve their content moderation and reduce the spread of fake news.
Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment
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