Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

Fake News Detection by Learning Convolution Filters through Contextualized Attention

Full stack Fake News Detection using machine learning code and documents

Fake news generator and detector using keras

Finetune multiple pre-trained Transformer-based models to solve Vietnamese Fake News Detection problem (ReINTEL) in VLSP2020 shared task

Used BERT embeddings on LIAR dataset for multi-class classification to achieve state-of-the-art results.

Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks

A Fake News Detector based on google searches and a magic algorithm to calculate the score for authenticity of a given news.

Final Project for CAPP 30255 Advanced Machine Learning for Public Policy

Fake News detection based on the FA-KES dataset

I implemented 3HAN(Hierarchical Attention Network)for fake news detection in pytorch. The same model can be modified and trained for different text classification tasks.

Advanced Fake News Detection packaged as a browser extension.

Hierarchical Attention Neural Network For Fake News Detection

This repo contains the submission for creating a Binary classifier for fake news detection to the IBM Machine Learning Hackathon hosted in Jan 2018 at IISc. Banglore

In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.

Fake News Classification and Detection

A BERT-based fake news classifier that uses article bodies to make predictions.

Amdocs Fake News Detector

This is a machine learning project that predict fake news.

This repo contains a Python script, emotion_classification.py, which performs emotion classification on a text dataset using a finetuned transformer model in the HuggingFace pipeline.