metadata

title: News Veracity Checker
emoji: 📰
colorFrom: indigo
colorTo: green
sdk: streamlit
sdk_version: 1.45.1
app_file: app.py
pinned: false

📰 News Veracity Checker

With the explosive growth of social media, the spread of fake news has become a global crisis. According to the MIT Media Lab, false information spreads six times faster than true news on platforms like Twitter. Studies also show that nearly 64% of adults have been exposed to fake news online, often without even realizing it.

That’s why I built this project: an News Veracity Checker Using AI. This tool classifies whether a news article or headline is true or false and provides a fact-based explanation using an open-source language model.

💡 Features

✅ Veracity Score – Classifies news as true or false using a BERT-based fake news detector
📃 Article Summarizer – Provides a concise summary of the content using Facebook’s BART model
🤖 AI Explanation – Uses Google’s Gemma-2B-Instruct LLM to generate fact-based rationales and corrections
☁️ Word Cloud Visualization – Visual insight into the most frequent keywords
🧠 All models are run locally using Hugging Face Transformers

🛠️ Tech Stack

Streamlit – For interactive front-end interface
Hugging Face Transformers – For veracity detection, summarization, and explanation generation
PyTorch
Matplotlib & WordCloud – For visualization
Models Used:
- jy46604790/Fake-News-Bert-Detect – for veracity classification
- facebook/bart-large-cnn – for summarizing long news texts
- google/gemma-2b-it – for AI-generated factual explanation