Fake News Detection using Deep Learning models in Tensorflow
-
Updated
Nov 8, 2018 - HTML
Fake News Detection using Deep Learning models in Tensorflow
Write Claim Reviews for Tweets
Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.
A web application used to determine fake news articles utilizing Machine Learning and Natural Language Processing.
Hoax Classification using Convolutional Neural Network Algorithm
This repository is for Fake News Detection using Deep Learning models
Build system for the Credibility Coalition website
Build a classifier to predict news authenticity
A dynamic representation of fake news spreading across Twitter subpopulations.
This research introduces a fuzzy deep learning approach using LSTM models to enhance fake news detection. The model effectively captures long-range dependencies in textual data, achieving high accuracy while addressing the inherent uncertainty in the detection process.
An attempt to use AI to ingest and organize diversity of thought.
A public event calendar about trust, verification, fact checking & beyond, curated by the MisinfoCon community
Fake News Detection using LSTM
Repository for Master's Thesis, Spring Semester 2021 / Markus Rottmann, 97-919-294
Real missinformation messages published in Whatsapp and presented in a simulated WhatsApp interface.
Knox County citizens resisting the Trump agenda — one step at a time. March on!
Add a description, image, and links to the fake-news topic page so that developers can more easily learn about it.
To associate your repository with the fake-news topic, visit your repo's landing page and select "manage topics."