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

Bias detection in the news. Back and front end for areyoufakenews.com

🚨 Rumor, Fake News, Misinformation Papers

Fake News Detection by Learning Convolution Filters through Contextualized Attention

✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.

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

Vietnamese Fake News Dataset - the opensource dataset for research about fake news in Vietnam.

Classifying Verified used users on Twitter based on how likely they are to share Fake News articles

Full Stack Fake News Detection using machine learning with code and documents plus youtube video explanation

FactNews is the first dataset to predict sentence-level factuality of news reporting. Furthemore, we provide baseline results for sentence-level factuality and media bias predicition in Portuguese. The FactNews is composed of 6,191 annotated sentences by factuality and media bias definitions by AllSides.

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

Using machine learning algorithms to detect fake/malicious news articles (Master's thesis research project)

Fake News Prediction System using logistic regression, stopwords, nltk

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

Fake News detector deployed on a server using Flask

An end-to-end tool to efficiently classify fake news with 97% accuracy

Intelligent system for pattern recognition: image, signal and text processing with deep learning and generative learning models.