Popular GitHub Repositories for Fake News

??Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

Fake News Detection using Deep Learning models in Tensorflow

✨ Fake news classification using source adaptive framework - BE Project ?The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.

Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformation.

Fake News Detection using Machine Learning Algorithms

Using machine learning & deep learning to analyze the News

PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection

Multi-Modal Fine-Grained Fake News Detection with Dialogue Summarization

Malay Fake News Classification using CNN, BiLSTM, C-LSTM, RCNN, FT-BERT and BERTCNN.

Greek Fake News Detector: A web app that detects fake news written in the greek language, based on spaCy and Streamlit.

An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.

Thesis project concerning classification of true and fake political, gossip world news using Machine Learning and Deep Learning Techniques

This project trains a Long Short Term Memory (LSTM) network to detect and classify fake news.

This is the repository of Pytorch code and dataset for paper "Learning from Fact-checkers: Analysis and Generation of Fact-checking Language", SIGIR 2019

Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.

This repository contains different machine learning and deep learning approaches for detection of fake news from headlines

Advanced Fake News Detection packaged as a browser extension.

Fake news detection based on Naive Bayes classifier. Implemented in python using PySpark dataframes and machine learning.