Awesome Open Source

Programming Languages

Search results for fake news misinformation

misinformation x

11 search results found

Awesomefakenews ⭐ 317

This repository contains recent research on fake news.

Awesome Deep Graph Anomaly Detection ⭐ 215

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

Awesome Misinfo Video Detection ⭐ 46

A curated list of works related to Misinformation Video Detection

Rumor Fake News Papers ⭐ 31

🚨 Rumor, Fake News, Misinformation Papers

Fakecovid ⭐ 29

FakeCovid- A Multilingual Cross-domain Fact Check News Dataset for COVID-19

COSMOS: Catching Out-of-Context Misinformation using Self Supervised Learning (AAAI 2023)

Finerfact ⭐ 13

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

Fake News Datasets ⭐ 12

This repository contains list of available fake news datasets for data mining.

Fact Checking Survey ⭐ 9

Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."

Fakingfakenews ⭐ 6

Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"

Misinformation Detection Demis ⭐ 5

Resource for misinformation research on Twitter. Official resource of the paper "DeMis: Data-efficient Misinformation Detection using Reinforcement Learning", ECML-PKDD 2022

Related Searches

Python Fake News (66)

Jupyter Notebook Fake News (50)

Machine Learning Fake News (42)

Natural Language Processing Fake News (33)

Deep Learning Fake News (29)

Fake News Fakenewsdetection (29)

Dataset Fake News (28)

Article Fake News (27)

1-11 of 11 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.