Fake News Detection by Learning Convolution Filters through Contextualized Attention

The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning

PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection

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

Utilities & scripts to collect and find insight from social network data and users.

This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018

Influence of fake news in Twitter during the 2016 US presidential election

FibVID

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

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models 20th IEEE International Conference on Data Mining (ICDM)

A website to help provide a context for determining the bias of any given news article

API for the browser extension. The API computes scores and stores result in a DB

This repository is a research prototype for early detecting fake news shared in social media when evidence or metadata is not present.

News labeling as early as possible: real or fake? Proceedings of the 2019 IEEE/ACM on Advances in Social Networks Analysis and Mining

A python library for fact checking of Fake News with the help of the semantic web

The aim of this project is to generate fake news in the Azerbaijani language using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models which are used for learning sequenced data. Here a LSTM model was trained on 65 thousand samples, and it should be able to generate text.

Applying BERT, PhoBERT, RoBERT models to natural language processing to detect official and unofficial news.

Rnn (vanial, GRU and LSTM) from scratch

TrendsBot consists of a virtual assistant (bot) that helps users to identify news of doubtful and / or false origin in groups of the Telegram.

A TensorFlow model to classify fake news