A baseline implementation for FNC-1
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Updated
Apr 3, 2022 - Python
A baseline implementation for FNC-1
Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch
Fake News Detection by Learning Convolution Filters through Contextualized Attention
Chrome extension that battles fake news
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
Deep Learning model to tackle the Fake News Challenge
Evaluate credibility of online news articles by classifying them as fake or real.
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
Analyse the connection between crypto news and market caps
Submission for the Fake News Challenge.
Fake News Detection
Detects fake news... or, maybe generates fake news... not so sure.
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