BiasBreaker | Devpost

Homepage
Description
Chatbot #1
Chatbot #2
Generated Summarized Article
Articles
Details
Dashboard

Inspiration

In a world where media bias shapes public perception, we wanted to create a tool that empowers users with diverse perspectives. Many news sources present information through a single lens, leaving readers with incomplete or skewed narratives. BiasBreaker was born from the need to promote critical thinking, media literacy, and inclusivity by highlighting underrepresented voices.

What It Does

BiasBreaker allows users to search for any news topic and receive a comprehensive, multi-perspective summary. It aggregates articles from various sources, analyzes their viewpoints, and generates an objective, AI-driven synthesis to provide a balanced and informed understanding of the topic.

How We Built It

We used web scraping to collect articles from diverse sources and AI-powered analysis to extract key perspectives. With generative AI, the app synthesizes these viewpoints into a coherent, unbiased summary, ensuring that underrepresented voices are included in the conversation.

Challenges We Ran Into

• Filtering out misinformation while maintaining diverse viewpoints
• Ensuring AI-generated content remains unbiased and factual
• Designing an intuitive user experience for easy news exploration
• Optimizing AI responses to balance clarity, conciseness, and depth

Accomplishments That We're Proud Of

• Successfully aggregating and synthesizing multiple perspectives
• Creating an AI-driven tool that highlights underrepresented voices
• Overcoming challenges of bias detection and content moderation
• Developing a seamless and user-friendly experience

What We Learned

• The complexities of bias in media and the challenges of fair representation
• How to train AI models to generate balanced and concise summaries
• The importance of responsible AI development in tackling misinformation

What’s Next for BiasBreaker

We plan to expand our sources, improve bias detection algorithms, and integrate user feedback to enhance news personalization. Future iterations may include real-time fact-checking, community discussions, and multilingual support to make BiasBreaker an essential tool for global media literacy.