🏆 Inspiration
Our project was inspired by the widespread presence of biased information and news consumed by people globally. Such biased information can lead to undesirable consequences, such as fueling hate speech or spreading misinformation. To address this, we created Verum—a name derived from the Latin word for "truth."
🔍 What It Does
Verum is a Chrome extension that scans articles as users read them and detects bias. Additionally, it provides detailed explanations on why an article is biased or not.
🛠️ How We Built It
Our solution consists of several key components:
🤖 roBERTa-Base Model Training
- We collected and labeled 20,000+ news articles to train a roBERTa-base model, known for its strong contextual understanding.
🚀 GPT-4 Turbo API
- Using prompt engineering, we leverage the GPT-4 Turbo API to generate insightful reasoning behind bias detection.
🖥️ GitHub
🧩 Chrome Extension Development
- We developed a Chrome extension pop-up using JavaScript, HTML, and CSS to provide an intuitive user experience.
🌐 Web Scraping
- We implemented web scraping to analyze the content users are reading in real time.
⚠️ Challenges We Ran Into
- 🔄 Pivoting Midway: Initially, we planned to build a web-based app, but we realized that a Chrome extension would provide a more fluid and seamless solution for users.
🎉 Accomplishments That We're Proud Of
- ✅ Successfully trained a bias detection model with 82% accuracy.
- ✅ Built a fully functional and user-friendly Chrome extension.
- ✅ Created a tool that helps people critically evaluate the information they consume.
📚 What We Learned
We gained valuable insights into:
- 🤯 roBERTa and other bidirectional models for contextual understanding.
- 🧠 The complexity of AI model training, including the need for extensive data and time.
- 🤝 The importance of collaboration in fast-paced development.
🚀 What's Next for Verum
- 🌍 Publishing Verum on the Chrome Web Store for public use.
- 📈 Enhancing web scraping, model performance, and prompt engineering for better accuracy and insights.
Built With
- gpt-4
- javascript
- python
- roberta-base
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