Keyword Collector & Filtering Tool to Recognize FakeNews

I have used ml to detect fake news and integrated it with a basic front end

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.

Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment

Detect fake news and misinformation in social media.

CyberPunkOS is a virtual machine that incorporates several tools for Open Source Intelligence (OSINT) to dismantle Fake News

Full stack Fake News Detection using machine learning code and documents

Detect fake news. Performs sentiment analysis on text.

FAKE NEWS CLASSIFICATION

A collection of GNN-based fake news detection models.

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

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

Fake News Detection by Learning Convolution Filters through Contextualized Attention

Fake-EmoReact, the shared task of SocialNLP 2021 (in conjunction with NAACL 2021).

Weak Supervised Fake News Detection with RoBERTa, XLNet, ALBERT, XGBoost and Logistic Regression classifiers.

Weak Labeling of Fake News Articles with Snorkel and Snuba

This repository is a research prototype for early detecting fake news shared in social media when evidence or metadata is not present.

Fake News Detection in Python using Machine Learning

A python library for fact checking of Fake News with the help of the semantic web