Inspired to fight misinformation
What it does
Leverage the power of Machine Learning to predict if the title of the news that we are reading are real or may be fake.
How we built it
We used a logistic regression classifier from Sklearn to create our model. We trained it by using the data from the "Fake and real news dataset" hosted in Kaggle.
Challenges we ran into
Accomplishments that we're proud of
We were able to create an end-to-end working product in just 24 hours!
What we learned
In such short period of time to develop an application, you do not always have time to solve all the problems that may arise, therefore thinking a quick alternative is very useful.
What's next for Fake News Extension
We are aware that using just the titles of the news is not enough for detecting if a news is real or fake, because even for humans it is a hard task. In further work, we are planning to get the entire text of the news and update our machine learning classifier to make better predictions.