GitHub - DataforProgress/bias-in-news: The primary goal of this project is to build a set of algorithmic tools for learning comparable word embeddings across multiple (relatively small) corpuses so that we can build metrics of bias (here focusing on ethnic, racial, gender and sexual orientation bias, rather than ideological bias) and compare across these text sources.

DataforProgress / bias-in-news Public

Notifications You must be signed in to change notification settings
Fork 0
Star 3

The primary goal of this project is to build a set of algorithmic tools for learning comparable word embeddings across multiple (relatively small) corpuses so that we can build metrics of bias (here focusing on ethnic, racial, gender and sexual orientation bias, rather than ideological bias) and compare across these text sources.