Media Analysis System for Positive Thought Broadcasting
AI-driven system to identify and surface positive, constructive media content during the Covid-19 pandemic. Registered Copyright, March 2021.
Overview
The Covid-19 pandemic saw a surge in misinformation, fear-driven content, and negative narratives across media platforms. This project developed an AI-based analysis system that automatically identifies positive, constructive content in media streams and surfaces it for broader distribution to support mental health and community resilience.
Registered as a Copyright with the Indian Copyright Office on March 8, 2021.
Motivation
- Pandemic-era media was overwhelmingly negative, contributing to anxiety and panic
- Automated curation of positive content at scale is infeasible manually
- Positive information (safety guidelines, recovery stories, community support) has measurable public health value
System Design
- Content ingestion — processes articles, posts, and broadcasts from multiple media sources
- Sentiment & tone classification — NLP model classifies content across a positivity spectrum
- Relevance filtering — ensures content is factually grounded and pandemic-relevant
- Broadcasting module — surfaces high-scoring content via a dashboard or notification feed
- Feedback loop — user interactions improve the classification model over time
Key Outcomes
- Automated pipeline from content ingestion to positive-content surfacing
- NLP-based tone classification tuned for pandemic-era language
- Deployable as a web dashboard or RSS-style feed
IP Status
Copyright Registered — Copyright Office, India, March 8, 2021.