Found 58 repositories(showing 30)
KaiDMML
This is a dataset for fake news detection research
SaschaStenger
No description available
doGregor
Fake news detection using graph machine learning.
carlosbrown2
Machine Learning to detect fake news articles (FakeNewsNet, Google BERT)
doGregor
Pre-Training GNNs for Context-based Fake News Detection
No description available
jakobzmrzlikar
An analysis of the FakeNewsNet dataset using NLP techniques.
FakenewsNet is a repository for an ongoing data collection project for fake news research at ASU. The repository consists of comprehensive dataset of Buzzfeed news and politifact which contains two separate datasets of real and fake news. The FakenewsNet consists of multi-dimension information that not only provides signals for detecting fake news but can also be used for researches such as understanding fake news propagation and fake news intervention. However, the repository is very wide and multi-dimensional, In this project, we perform a detailed analysis on Buzzfeed news dataset. The Buzzfeed news dataset comprises a complete sample of news published in Facebook from 9 news agencies over a week close to the 2016 U.S. election from September 19 to 23 and September 26 and 27. Every post and the linked article were fact-checked claim-by-claim by 5 BuzzFeed journalists. There are two datsets of Buzzfeed news one dataset of fake news and another dataset of real news in the form of csv files, each have 91 observations and 12 features/variables. The Buzzfeed news dataset consists of two datasets which has the following main features: id: the id assigned to the news article webpage Real if the article is real or fake if reported fake. title : It refers to the headline that aims to catch the attention of readers and relates well to the major of the news topic. text : Text refers to the body of the article, it elaborates the details of news story. Usually there is a major claim which shaped the angle of the publisher and is specifically highlighted and elaborated upon. source: It indicates the author or publisher of the news article. images: It is an important part of body content of news article, which provides visual cues to frame the story. movies: It is also an important part of news article, a link to video or a movie clip included in a article, also provides visual cues to frame the story. In this analysis, we do not consider features like url, top_img, authors, publish_date, canonical link and metedata because these usually provide redundant information which we can be obtained from other main variables and do not add more value to our analysis. The two main features we care about are the source of the fake news and the language used in the fake news. In particular, we are interested in finding sources which published fake news and finding words that are more associated with one category than other. The main purpose of this analysis is to develop methods to analyze fake news versus real news. This project is divided into two parts: (1) Exploratory Data Analysis (2) Classification. The goal of the second part is to build a classifer that can predict and detect fake news. We use three different classifiers to classify documents into real/fake news categories.
Fake News Detection on FakeNewsNet Dataset with the help of Graph Attention Network with Multihead Attention
mcintyrehh
An open-source MERN stack application bringing you fake news that matters.
HisuiLabs
No description available
rikard-io
FakeNewsNet dataset cleaned and with dates normalized to epoch time
A sample dataset in the format compatible with Torchtext
Samiurr129
Multimodal Fake News Detection This project detects fake news using BERT for text analysis and CNN for image processing, combining both for accurate classification. Built with PyTorch, it supports FakeNewsNet, LIAR, and custom datasets. Future improvements include web deployment, explainable AI, and larger datasets for better accuracy. 🚀
alex0113
ISOTFakeNews and FakeNewsNet datasets
mowhammadrezaa
Fake News Detection Using Propagation Graphs
dhruvasuresh
No description available
rachelsterneck
No description available
cyu0330
No description available
jookie
Complete dataset cannot be distributed because of Twitter privacy policies and news publisher copy rights. Social engagements and user information are not disclosed because of Twitter Policy. This code repository can be used to download news articles from published websites and relevant social media data from Twitter.
Jhonathanalvesbr
No description available
gpapalex
No description available
ImanuBae
No description available
MickaelLopes
Viz for fake news based on fakenewsnet
jpnaveenkumar
No description available
Daniel-Muller45
No description available
EarnestVoice
Toolkit for the production and distribution of auto generated fake news for building target groups and profiles.
RobertCall
Putin canceled China
abdallah-ayoub-zakaria
No description available
nimrat-bhullar
No description available