FAKE NEWS CLASSIFICATION
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Updated
Apr 16, 2022 - Python
FAKE NEWS CLASSIFICATION
Weak Labeling of Fake News Articles with Snorkel and Snuba
Fake News Classification and Detection
Fake News Detector
AntiFa (Anti FakeNews) é um projeto dedicado a analisar e quantificar a porcentagem de notícias falsas (fake news) disseminadas por políticos e personalidades brasileiras em suas redes sociais.
This repo contains code related to our submission for the task of Profiling Fake News Spreaders in PAN at CLEF 2020
fake news detector with python
In this project I have created a fake news classifier based on the news title and author and got an 99.46% accuracy.
Code for FakeNews MediaEval 2020 Task: https://multimediaeval.github.io/editions/2020/tasks/fakenews/
Fake news detection using ml models such as roBERTa
The uvicorn API and the Twitter Bot
This project aims to develop a fake tweet detection system using the Multinomial Naive Bayes algorithm, which is a probabilistic classification model based on Bayes' theorem.
A tool to protect readers from fake media using text analysis and NLP techniques.
Detecção de fake news utilizando a rede neural artificial multilayer perceptron (MLP)
Currently making the dockerfile, will update soon
Detect if a news is fake or real!
Moscow City Hack fake news detection case solution
Automatic Fact Verification
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."