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Explore how social media discourse can be leveraged to construct poverty metrics in this 18-minute conference talk from the Association for Computing Machinery (ACM). Discover innovative approaches to measuring poverty through digital data analysis as researchers Woojin Jung, Andrew H. Kim, Charles Chear, Vatsal Shah, Ying Hung, and Tawfiq Ammari present their methodology for extracting development indicators from online conversations. Learn about the intersection of computational social science and development economics, examining how social media platforms can serve as valuable data sources for understanding socioeconomic conditions. Gain insights into the challenges and opportunities of using digital traces to complement traditional poverty measurement approaches, while considering issues of bias and representation in AI systems used for social good applications.
