A collection of GNN-based fake news detection models.
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Updated
Mar 24, 2022 - Python
A collection of GNN-based fake news detection models.
CyberPunkOS is a virtual machine that incorporates several tools for Open Source Intelligence (OSINT) to dismantle Fake News
Fake News Detection by Learning Convolution Filters through Contextualized Attention
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.
Fake News Detection in Python using Machine Learning
PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection
An application to detect fake and untrustworthy websites
ML based fake news detector.
This is the repository of Pytorch code and dataset for paper "Learning from Fact-checkers: Analysis and Generation of Fact-checking Language", SIGIR 2019
This repository is a research prototype for early detecting fake news shared in social media when evidence or metadata is not present.
Full stack Fake News Detection using machine learning code and documents
Fake news detection with GUI
News labeling as early as possible: real or fake? Proceedings of the 2019 IEEE/ACM on Advances in Social Networks Analysis and Mining
Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment
This project is relevant to the media industry, news outlets, and social media platforms that are responsible for sharing news articles. Classifying news articles as real or fake can help these organizations improve their content moderation and reduce the spread of fake news.
FAKE NEWS CLASSIFICATION
Weak Labeling of Fake News Articles with Snorkel and Snuba
Detect fake news and misinformation in social media.
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