New Concordia research shows social networks are vulnerable to relatively simple AI manipulation and polarization
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Apr-2025 00:08 ET (30-Apr-2025 04:08 GMT/UTC)
In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60 billion each year. A new machine learning breakthrough generates accurate fraud labels from large, imbalanced datasets without costly, time-consuming labeled data. It outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud, where fast data processing is vital to preventing losses and improving efficiency.
To investigate how private vs. public water systems affect water quality and equal access to safe, clean water, researchers mapped the distribution of water system ownership, water system violations, and water injustice nationwide. Their findings are published in the journal Risk Analysis. The study is the first to integrate geospatial mapping of water violations, social vulnerability, and, importantly, perceptions of water access in relation to public versus private ownership of water systems on a national scale.