A privacy-aware semantic encoding framework for GPS data in mobile stress recognition maintains performance comparable to non-private baselines while improving privacy by 2-3 times on the GeoLife dataset via LOSO validation.
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Social media data functions as passive geospatial sensing for public opinion and behavior via a structured workflow and case studies on topics like COVID-19 vaccines and urban accessibility.
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From Coordinates to Context: An LLM-Bootstrapped Semantic Encoding Framework for Privacy-Preserving Mobile Sensing Stress Recognition
A privacy-aware semantic encoding framework for GPS data in mobile stress recognition maintains performance comparable to non-private baselines while improving privacy by 2-3 times on the GeoLife dataset via LOSO validation.
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A Guide to Using Social Media as a Geospatial Lens for Studying Public Opinion and Behavior
Social media data functions as passive geospatial sensing for public opinion and behavior via a structured workflow and case studies on topics like COVID-19 vaccines and urban accessibility.