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Researchers have developed a groundbreaking method using Twitter data to measure poverty in data-scarce regions. This AI-powered approach provides real-time insights into community needs and could revolutionize how development organizations operate worldwide.
In regions where traditional data collection methods face significant challenges, researchers have discovered an innovative solution using social media content to measure economic conditions. A team from Rutgers University has pioneered the use of georeferenced Twitter data as a powerful tool for understanding poverty patterns and local development needs, potentially transforming how international aid organizations operate in real-time.
