Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

A baseline implementation for FNC-1

Fake News Detection by Learning Convolution Filters through Contextualized Attention

Chrome extension that battles fake news

Deep Learning model to tackle the Fake News Challenge

Detecting fake news articles by analyzing patterns in writing.

Workspace for the Global AI Hackthon ("Make News Real Again" Challenge): Data Scraping & Cleaning, Text Analytics/NLP, Predictive Modeling, and Feature Engineering in Python

Detecting Fake News using AI

Analyse the connection between crypto news and market caps

A single page web application developed to find whether the entered news is real or fake.

This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-1

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

Evaluate credibility of online news articles by classifying them as fake or real.

Submission for the Fake News Challenge.

A baseline implementation for FNC-1

Fake News Detection

Detects fake news... or, maybe generates fake news... not so sure.