Dapp that maintains a list of media urls using ERC-20 tokens to manage, track and verify sources, references, share and comments on Ethereum testnet network
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Updated
Dec 11, 2022 - JavaScript
Dapp that maintains a list of media urls using ERC-20 tokens to manage, track and verify sources, references, share and comments on Ethereum testnet network
An application that allows you to search claims, terms and quotes, and returns fact checked articles reguarding the validitiy of the query.
Excel files and R Code for research on the impacts of a consumer-side online fake news inoculation on an Indian sample, conducted under the grant provided by the Goutham Krishna Economics Research Fellowship of St. Stephen's College, Delhi
Applying BERT, PhoBERT, RoBERT models to natural language processing to detect official and unofficial news.
TrendsBot consists of a virtual assistant (bot) that helps users to identify news of doubtful and / or false origin in groups of the Telegram.
Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
A news application to check the reliability of the news
Checks the sites you visit in the Google Chrome browser against VerificaSursa.ro's blacklist of Romanian fake-news websites and alerts upon detecting one.
Microsite for the Misinfo - #fakenews project. Preview here: https://misinfo.investigate.africa
This is a Fake News Detection Website created by - Muskan Gupta, Radha Singh, Pratyaksha Gupta, Priya Sharma. 1st year BTech CSAI students of IGDTUW
A hosts file which blocks all services from Alexander Emerick Jones.
Rnn (vanial, GRU and LSTM) from scratch
This is a Fake News classifier that uses the Passive-Aggressive Classifier.
A fake news classifier using TF-IDF and Bag of Words to obtain classification of Fake news using Multinomial Algorithm and Passive-Aggressive Classifier Algorithm
A final report for our fake news detection software that used stance detection.
A machine learning project to detect the fake news.
You Can see The Top Artificial Intelligence Projects Based on Real Use cases. 😃 Why wait More when you have all things at one place. 😎
The aim of this project is to generate fake news in the Azerbaijani language using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models which are used for learning sequenced data. Here a LSTM model was trained on 65 thousand samples, and it should be able to generate text.
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