Matrix-based News Aggregation to Explore Media Bias
-
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.
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.
A Multidimensional Dataset for Analyzing and Detecting News Bias based on Crowdsourcing
Lexical Comparison Between News Mediums by Using Word Embeddings for Media Bias Identification
Maximizing Neutrality in News Ordering
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.
Multi-source news bias analyzer using NLP, FastAPI, and Chart.js
A chrome extension that displays media bias
Space Optimized Computer Vision, Performance of Deep Learning Systems, Algorithms, Spark/MapReduce, R Bookdown with D3 Interactive
NLP-based machine learning system for detecting and classifying bias in news articles using TF-IDF features and logistic regression.
A lexically-rich but fine-grained reannotation of CDCR-aspect of NewsWCL50
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
A curated portfolio of applied data science projects focused on machine learning, NLP, and social impact.
Data visualizations exploring media disinformation, including interactive D3 javascript
An end-to-end NLP pipeline to analyze ideological bias in online news media during elections. Uses sentiment analysis, topic modeling (LDA/NMF), and NER to quantify media framing.
🛰️ Analyze media bias by comparing how news outlets report on the same topic, using sentiment data displayed in an interactive radar chart.
Add a description, image, and links to the media-bias topic page so that developers can more easily learn about it.
To associate your repository with the media-bias topic, visit your repo's landing page and select "manage topics."