fake-news-classification

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

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

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

🚨 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.

Fake news generator and detector using keras

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

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

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.

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

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

Advanced Fake News Detection packaged as a browser extension.

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

Fake News Prediction System using logistic regression, stopwords, nltk

a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy, rumor clickbait, junk science, satire, hate

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

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