There are 4 repositories under fakenews topic.
A dataset of millions of news articles scraped from a curated list of data sources.
[EMNLP'21] Visual News: Benchmark and Challenges in News Image Captioning
TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19
Fake News Detection by Learning Convolution Filters through Contextualized Attention
The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning
Tools and algorithms to analyze Paraguayan Tweets in times of elections
🔍 Chráňte vašich blízkych pred nedôveryhodným 🇸🇰 a 🇨🇿 obsahom
Utilities & scripts to collect and find insight from social network data and users.
This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018
Full stack Fake News Detection using machine learning code and documents
Influence of fake news in Twitter during the 2016 US presidential election
Fake News Detection-Naive Bayes Model
Detecting fake news articles by analyzing patterns in writing.
[EACL'23] COVID-VTS: Fact Extraction and Verification on Short Video Platforms
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 contains different machine learning and deep learning approaches for detection of fake news from headlines
This is my first machine learning project.
A website to help provide a context for determining the bias of any given news article
Shore is a real-time fake news detection application for WhatsApp
Página criada para reunir links de ferramentas úteis para OSINT
This repository is a research prototype for early detecting fake news shared in social media when evidence or metadata is not present.
Django based app containing QuotExaminer, FakeNews, FaceSwap and Clickbait detection services.
Final project (094396) @ Technion | Vue.js, JavaScript, Tailwind CSS, Firebase, Twitter API
I bought 500 Twitter followers from one of the leading providers for this kind of service. What I got can be found in fake_accounts.csv: Users with mostly all having ~1500 Tweets (most of them are retweets) about Trump, Porn, Saudi Arabia. 1/10 would not buy again.