MoodNet: Tracking Your Friends' Mental Health ID: 2013-068

An innovative app designed to monitor and respond to friends' emotional states on Facebook, with a focus on preventing teen suicide.

Technology Overview

MoodNet is a groundbreaking social media application developed by Brigham Young University, intended for use within Facebook to track users' friends' moods. It features color-coded mood advisories, identifies posts triggering these advisories, and utilizes feedback mechanisms powered by machine learning. The app provides graphical representations of users' social networks, aiming to facilitate timely and empathetic responses to friends' emotional needs, particularly in identifying and mitigating suicide risk factors among teens.

Key Advantages

• Real-time mood tracking of friends on social media
• Color-coded mood advisories for easy interpretation
• Machine learning feedback mechanisms for accurate mood prediction
• Graphical representations of social networks for better understanding of friends' emotional states
• Focus on suicide prevention among teens through early detection of risk factors

Problems Addressed

• Lack of awareness about friends' emotional states and mental health issues
• Difficulty in identifying suicide risk factors in social media interactions
• Challenges in providing timely support to friends in emotional distress

Market Applications

• Deployment in schools for monitoring student mental health
• Integration with social media platforms for broader user engagement
• Use as a tool for mental health professionals to track patient social media behavior
• Application in suicide prevention initiatives and campaigns

Additional Information

Technology ID: 2013-068
Sell Sheet: Download the Sell Sheet here
Market Analysis: Contact us for a more in-depth market report
Date Published: 13 May, 2025