Matrix-based News Aggregation to Explore Media Bias
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Updated
Jun 26, 2018 - Java
Matrix-based News Aggregation to Explore Media Bias
Chrome extension to show you the bias of websites you travel to.
A chrome plugin that uses Machine Learning and Natural Language Processing to help reducing media bias and to help building a better, more democratic web.
A Multidimensional Dataset for Analyzing and Detecting News Bias based on Crowdsourcing
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.
Lexical Comparison Between News Mediums by Using Word Embeddings for Media Bias Identification
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.
Maximizing Neutrality in News Ordering
A chrome extension that displays media bias
This repository contains the bias ontology design pattern (ODP) and the media bias ontology that has been built using the bias ODP.
A POC backend for a browser extension that scrapes mediabiasfactcheck.com and displays info a bout an articles source at the top of the page
Some projects from my Columbia University data science engineering program
Data visualizations exploring media disinformation, including interactive D3 javascript
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