There are 4 repositories under fakenewsdetection topic.
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.
Fake News Detection by Learning Convolution Filters through Contextualized Attention
Fake News Detector Web Application
Full stack Fake News Detection using machine learning code and documents
Fake News Detection using Machine Learning Algorithms
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).
Checks for the Stance detection in a unlabeled news dataset.
Fake News Detection in Python using Machine Learning
Detecting fake news articles by analyzing patterns in writing.
Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment
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
This project detects whether a news is fake or not using machine learning.
A LSTM based classification model made in PyTorch to classify fake news.
Train a T5 model to generate simple Fake News and use a RoBERTa model to classify what's fake and what's real.
Detecting fake news is a challenging task that involves using various natural language processing (NLP) and machine learning techniques
Detect if a news article is real or not! using PyTorch, LSTM, and Django
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.
Enter snippet line to predict if it's real or fake
Fake News Detection | NLP | Python | Final Year Project
Vietnamese Fake News Detection Based on Hybrid Transfer Learning Model and TF-IDF
This repository is a research prototype for early detecting fake news shared in social media when evidence or metadata is not present.
The Application is developed to fight against the misinformation and fake news spread during the sensitive moment of pandemic.
Codeclause Internship Projects
Fake-EmoReact, the shared task of SocialNLP 2021 (in conjunction with NAACL 2021).