Inspiration
Based on current events and mass amounts of news articles, readers could be misinformed by reporters with biases of topics based on how an issue is framed.
What it does
Our Chrome Extension takes each sentence of the article that you are currently on and compares it with similar article names that are from unbiased sources that is in a database.
How we built it
We web scraped the article the user is currently on and scraped similar trusted news sources that are known to be unbiased. We feed these sources with the Google Gemini API which compares and highlights any language that can be considered as biases in the article the user is reading with a trusted news source.
Challenges we ran into
Finding reputable sources and telling if they are reputable.(Deciding which sources could actually be trusted.
Accomplishments that we're proud of
Building a chrome extension to ensure good user experience.
What we learned
How to web scrape a news article and how to use the Gemini API to decide whether or not an article is biased or not.
What's next for FairLens
Compare article with even more trustworthy articles to get a better bias score.
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