Fact-Checkr : Fake News Detection and Sentiment Analysis

Abstract

In the digital age, the rapid spread of misinformation has become a major concern, impacting public opinion and societal trust. Addressing this challenge, the project FactCheckr is developed as a real-time fact-checking and sentiment analysis platform. Users can post content, verify claims, and understand the sentiment behind shared information. The system integrates authentication through Firebase, employs the ClaimBuster API, and utilizes language processing libraries such as NLTK, TextBlob, and VADER. It was constructed with React Native for the frontend and Flask for the backend. Users can register, create customized profiles, and manage them interactively. Furthermore, they can analyze facts and sentiments through intuitive interfaces and efficiently manage posts. Administrators have tailored oversight through a dedicated web-based portal. FactCheckr incorporates modern technologies with real-time verification to inform communities and counter misinformation on a global scale.