Domain block list based on Poynter's "An Index of Unreliable News Websites" article from 30 April 2019. For use with Pi-Hole and other DNS-based website filtering.
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Updated
Sep 26, 2023
Domain block list based on Poynter's "An Index of Unreliable News Websites" article from 30 April 2019. For use with Pi-Hole and other DNS-based website filtering.
In this assingment we perform a fact checking task over FEVER dataset. The created models, given a claim to verify and an evidence set will have to output whether the given evidences support or refuse the claim.
Search leading academics' opinions on issues.
Subgraph of Prove Me Wrong - Decentralized Curation of Truth
A Twitter bot to help combat fake information on transgender people.
Collection of Portuguese Fact-Checking Benchmarks.
[EACL'23] COVID-VTS: Fact Extraction and Verification on Short Video Platforms
Crowdsourced fact checker application
Transfer Learning Large Scale Transformers for Fact Checking
Semantic Web project. Tweets analysis comparing the text with fact checking websites.
FactNews is the first dataset to predict sentence-level factuality of news reporting. Furthemore, we provide baseline results for sentence-level factuality and media bias predicition in Portuguese. The FactNews is composed of 6,191 annotated sentences by factuality and media bias definitions by AllSides.
API for the browser extension. The API computes scores and stores result in a DB
Site permettant de vérifier l'état des 149 propositions de la Convention Citoyenne pour le Climat.
Fact Checker Bot for Reddit Posts and Comments
Source codes of the aedFaCT web browser extension presented in the paper titled "aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions".
Prolog Image Customization Optimizer
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
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…
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