Articheck was a project I made at for hackathon DVHacks 2019. It used Google’s natural language processing API’s and a custom scoring algorithm to determine if the language in an article was biased.
Essentially, it checked to see how neutral the article was on an issue. If it used charged words and emotional statements, it would be scored negatively as that means it probably doesn’t discuss the issue in a politically and emotionally neutral manner.
I made this because I saw fact checking services elsewhere on the web which helped detect bias, but I couldn’t find anything that analyzed the language of articles themselves, so I made one.
This project won a $500 prize at the hackathon!