The world, today, is an advanced world where the dissemination of information is just in the span of fingers. With an ever-growing population using social media and usage of social media for news has led to widespread fake news. According to Pew Research Center, almost 45% of people surveyed found that they come into contact with fake news every day on social media. We built ReNews to help people get real news through verified sources.

ReNews takes a piece of news that the user feeds into it then, it runs an automatic check to verify that news and informs the user whether it’s fake or real. ReNews also recommend users, based on their interests, stories, articles, and/or other information for their reference.

For the Merge 2021 Hack/Policython, my team created ReNews out of rigorous research and technology. We utilized machine learning–specifically linear and logistic regression–in order to determine the efficacy of an article. We first constructed the ML model with python in the Flask framework and deployed it on Heroku. We created a front-end website with ReactJS in which the user could input their article. Later we realized that it would benefit the user experience to have a chrome extension instead, so we built that using the classic HTML, CSS, and Javascript.

Second Place Winner in Merge 2021 Hackathon