A dataset of millions of news articles scraped from a curated list of data sources.
An in-progress collection of sites that spread clickbait, hoaxes, propaganda and disinformation.
[EMNLP'21] Visual News: Benchmark and Challenges in News Image Captioning
Fake News Detection by Learning Convolution Filters through Contextualized Attention
TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19
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
PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection
🔍 Chráňte vašich blízkych pred nedôveryhodným 🇸🇰 a 🇨🇿 obsahom
Utilities & scripts to collect and find insight from social network data and users.
Full stack Fake News Detection using machine learning code and documents
This is the repository of code and dataset for paper "The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News", SIGIR 2018
A system aiming to solve fake news and propaganda through a vetting mechanism to verify facts from trash. A system to end cyclic discussions on the Internet and curve the spread of misinformation.
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
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