An application to detect fake and untrustworthy websites
-
Updated
Feb 18, 2018 - Python
An application to detect fake and untrustworthy websites
Speaker2Credit - credibility vectors
Displays a confidence score about an article that has been submitted to the extension.
API for the browser extension. The API computes scores and stores result in a DB
Página criada para reunir links de ferramentas úteis para OSINT
Exploited GoogleBERT embeddings on LIAR dataset for multi-class classification task of Fake news detection.
ML based fake news detector.
News labeling as early as possible: real or fake? Proceedings of the 2019 IEEE/ACM on Advances in Social Networks Analysis and Mining
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
Political Fake News
Detecting fake news articles by analyzing patterns in writing.
This repository contains different machine learning and deep learning approaches for detection of fake news from headlines
Fake news classifier model
Enter snippet line to predict if it's real or fake
Using Machine Learning and NLP to segregate the unreliable and reliable news articles
A machine learning project to detect the fake news.
Project idea – Fake news spreads like a wildfire and this is a big issue in this era. We can learn how to distinguish fake news from a real one. We can use supervised learning to implement a model like this.
Add a description, image, and links to the fakenewsdetection topic page so that developers can more easily learn about it.
To associate your repository with the fakenewsdetection topic, visit your repo's landing page and select "manage topics."