After the blowup of fake news during the last election, many people have been argued the morality of such news outlets. Our team wanted to find a way to reduce this endless flow of fraudulent news so we built this website.
What it does
The website gives users data that we, as a team, thought were great metrics to judge an article's validity.
How we built it
The site has four metrics used to judge a article's validity. We used IBM's Watson cloud alchemy module and WhoIs protocol to help us extract data from an article.
Challenges we ran into
We had a lot of trouble deploying the web server. We also had trouble designing the layout of the website. We also hit IBM's API call limit within a day while testing.
Accomplishments that we're proud of
The site is visually appealing, and easy to use.
What we learned
We learned how to visualize data programatically. We also became more adept about site building and deployment in general. We learned how to work under strict time constraints as well.
What's next for Fake News App
We want to add more metrics, since in the short amount of time we had we couldn't implement all of the metrics a user could use to effectively gauge a articles validity.