Fake News Detection in Python

A collection of GNN-based fake news detection models.

CyberPunkOS is a virtual machine that incorporates several tools for Open Source Intelligence (OSINT) to dismantle Fake News

Final Year Fake News Detection using Machine learning Project with Report, PPT, Code, Research Paper, Documents and Video Explanation.

This project detects whether a news is fake or not using machine learning.

Fake News Detection by Learning Convolution Filters through Contextualized Attention

Fake News Detector Web Application

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

Full stack Fake News Detection using machine learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Flask & Python - Fake news prediction using Machine Learning algorithms and Flask Framework.

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.

Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).

Fake News Detection in Python using Machine Learning

Checks for the Stance detection in a unlabeled news dataset.

Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment

Detecting fake news articles by analyzing patterns in writing.

Multiview Spatio-Temporal Learning with Dual Dynamic Graph Convolutional Networks for Rumor Detection

This is the repository of Pytorch code and dataset for paper "Learning from Fact-checkers: Analysis and Generation of Fact-checking Language", SIGIR 2019

This repository contains different machine learning and deep learning approaches for detection of fake news from headlines