Polarization Mapper

Streamlit
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Created by team Super Agents on September 21, 2025

In today's digital age, online forums like Reddit are the new public square, hosting millions of conversations that shape opinions and trends. However, this landscape is often chaotic, polarized, and difficult to navigate. It's nearly impossible to get a clear, unbiased signal from the noise. Our project, Polarization Mapper, is designed to solve this problem. It's an intelligent AI agent that acts as a digital sociologist, diving into online communities to map the true state of public opinion. How It Works & What It Delivers: When you give the agent a topic—from political debates to climate change or new product reviews—it gets to work. It fetches the most influential posts and comments from Reddit and processes them through a Natural Language Processing (NLP) pipeline. This isn't just basic sentiment analysis; its key function is stance detection. The agent identifies and clusters different, often opposing, viewpoints. The final output is a clear, data-driven visualization of the entire conversation, showing where people agree, where they disagree, and what the core arguments are. This transforms a messy sea of text into actionable insights. This tool provides invaluable insights for a wide range of users: Market researchers can get authentic, unfiltered feedback on products. Political strategists can track shifting public sentiment during campaigns. 🗳️ Policymakers and NGOs can better understand public concerns on critical issues. Ultimately, Polarization Mapper brings clarity and structure to the chaotic world of online discourse, making it possible to truly understand the pulse of the public.

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"The presentation and video were clear and engaging, though the video did run well past the time limit. This is a unique and timely idea, and I can see strong real-world applications. The demo ran smoothly overall, with only a few topics not returning results, which is impressive within the hackathon timeframe. Honestly, this is something I would want to use myself when browsing news or social media."

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Prachi Tomar

"Good presentation. The main use of technology has been similar to what LLMs do, translating text into insights. The key need for these ideas has been missed, which makes it unclear why consumers would want to use this. If it is for enterprises, as there has been mention of sentiment analysis, then the solution has to talk about combining internal data with external data. The moat is not clear to translate into business value"

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Hari Kanagala

Group Product Manager AI