The anonymity of people over the Internet and Social media platforms can make them spread fake news and use toxic comments that they wouldn't normally use in daily life. We found that a chrome extension would be both easy to use and effective in solving this problem. Our project draws from these observations to build a chrome extension that can flag such content on Twitter.
What it does
Once the chrome extension is installed in the browser, it automatically flags fake and toxic content from your feed. The extension sends each tweet to the Backend built using Flask and Tensorflow where each tweet is classified into fake or not fake and toxic or non-toxic. Both these tweets are flagged in different colours so users can ignore them whilst going through their feed. In addition to flagging the tweets, users can also view a summary or report of their twitter feed through visually appealing pie-charts and can also blur out all the tweets classified as toxic so that they won't be viewing them at all.
How we built it
Datasets and models used
Challenges we ran into
Accomplishments that we're proud of
We are proud of having built a chrome extension. The application works in real-time, without much lag which was heartwarming. Using deep learning to solve day-to-day problems was the major inspiration behind our project and we hope that with a few other changes, this application can be useful for twitter users.
What's next for Twitteristic
Twitter is just the starting point for the application. The same logic can be used to make it work on news articles or basically any content on the Internet. Our goal is to stop the spread of hatred and toxicity among people and make the world a better place, in a small way.