Abstract
Visualizing and Evaluating the Geocoding Uncertainty in Social Sensing for Disaster Management
Highlights
A total of 47 million tweets were purchased, which were already filtered by disaster-related keyword-based search
Most social sensing research determines the location of each record through enabled GPS, address mentioned in the body of the data, or the user-filled profile location
For procuring this type of data from social media sites, many researchers turn to Twitter, given its large and ever-growing user base compared to other platforms as the general populace indulges a lot in social media
Summary
A total of 47 million tweets were purchased, which were already filtered by disaster-related keyword-based search. Abstract: As the usage of GPS-enabled portable devices has become an indispensable part of people’s daily life, big usergenerated geospatial data collected by apps on those devices, e.g., location-based social media, provide a new avenue to observe human behaviours and reveal socioeconomic characteristics.
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