This project was developed for Spartan team, which is the participant team of TRACTION 2020, organized by ROBU(Robotics Club of Brac University).

A web application used to determine fake news articles utilizing Machine Learning and Natural Language Processing.

Never be swayed by biased news sources again.

Build a classifier to predict news authenticity

Repository for Master's Thesis, Spring Semester 2021 / Markus Rottmann, 97-919-294

A dynamic representation of fake news spreading across Twitter subpopulations.

Hoax Classification using Convolutional Neural Network Algorithm

Real missinformation messages published in Whatsapp and presented in a simulated WhatsApp interface.

Trustful Fact-Checking

Knox County citizens resisting the Trump agenda — one step at a time. March on!

Um site informativo para prevenção contra fake news

A public event calendar about trust, verification, fact checking & beyond, curated by the MisinfoCon community

A fake news building and hosting website.

Fake News Detection using LSTM

a web app for the detection of fake Facebook accounts (i.e. trolls, haters...)

This is a collection of corrections from the major Hungarian newspapers.

Submission for the 2020 MLH Summer League Same Home Different Hacks Hackathon. A web app geared towards disclosing real vs fake news articles and sources while visually representing them.

This repository contains the frontend design of ELISA web app. We used Angular with CoreUI components.

This repository is for Fake News Detection using Deep Learning models

An attempt to use AI to ingest and organize diversity of thought.