[In development] Rozšíření pro Firefox a Chrome upozorňující na dezinformační weby.

Grepping keywords from tweets provided by Twitter

The task was to detect fake news regarding COVID-19.

Weak Labeling of Fake News Articles with Snorkel and Snuba

Fake News Classification and Detection

This project aims to leverage the power of Natural Language Processing (NLP) and Logistic Regression to build a model that can automatically detect fake news from genuine news articles.

Fake News Detector

Dapp that maintains a list of media urls using ERC-20 tokens to manage, track and verify sources, references, share and comments on Ethereum testnet network

My code and research while exploring NLP fake news detection under an internship.

Never be swayed by biased news sources again.

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

Sebuah Web Application yang dirancang untuk menekan penyebaran berita palsu, dengan bantuan teknologi Tensorflow. Kita membuat model yang dapat melakukan deteksi berita palsu dan berita benar.

We have created a model to determine if a piece of news is fake or not, based on its title. We have used 3 Naïve Bayes algorithms, namely Gaussian, Bernoulli and Multinomial.

Recognition of so called ‘fake news’ on specified topic scope - BSc Thesis (5.0) - Dataset of 2240 messages related to coronavirus, data vectorization based on word uni- and bigrams and the TF-IDF method, classification carried out with the use of a naive Bayes classifier, a linear support vector machine and a random forest algorithm.

Simulador de Fake News: Demonstra o efeito da disseminação de fake news em um mundo com pessoas, IA disseminadora/destruidora e meio de comunicação confiável.

Autômatos celulares (ACs) desenvolvidos com o intuito de fazerem parte do trabalho final da disciplina de Física Computacional (FFCLRP-USP). Os programas foram desenvolvidos em linguagem Python, utilizando-se a biblioteca tomato-engine.

Thesis Project

fake news detector with python

Comparative Analysis of Bi-Directional Long Short-Term Memory and BERT Models for Fake News Detection with Explainable AI Using Lime